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Mathematics and Statistics for the Quantitative Sciences

Mathematics and Statistics for the Quantitative Sciences

Mathematics and Statistics for the Quantitative Sciences was born from a radical reimagining of first-year mathematics. While calculus is often seen as the foundational mathematics required for any scientist this often leads to mathematics being seen as some ultimately useless hoop that needs to be jumped through in order to do what someone really wants to do. This sentiment is everywhere at every level of education. It even shows up in how people stereotype mathematics courses. What this book aims to do therefore is serve as a foundational text in everyday mathematics in a way that is both engaging and practically useful. The book seeks to teach the mathematics needed to start to answer fundamental questions like ‘why’ or ‘how’. Why do we only need to take census data once every few years? How do we determine the optimal dosing of a new pharmaceutical without killing people in the process? Or more generally what does it even mean to be average? Or what does it mean for two things to actually be different? These questions require a different way of thinking — a quantitative intuition that goes beyond rote memorization and equips readers to meet the quantitative challenges inherent in any applied discipline. Features Draws from a diverse range of fields to make the applications as inclusive as possible Would be ideal as a foundational mathematical and statistical textbook for any applied quantitative science course

GBP 74.99
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The Effect An Introduction to Research Design and Causality

The Effect An Introduction to Research Design and Causality

The Effect: An Introduction to Research Design and Causality is about research design specifically concerning research that uses observational data to make a causal inference. It is separated into two halves each with different approaches to that subject. The first half goes through the concepts of causality with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? Key Features: • Extensive code examples in R Stata and Python • Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects simulation and power analysis new cutting-edge methods and uncomfortable ignored assumptions • An easy-to-read conversational tone • Up-to-date coverage of methods with fast-moving literatures like difference-in-differences | The Effect An Introduction to Research Design and Causality

GBP 29.99
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Systems Medicine Physiological Circuits and the Dynamics of Disease

Systems Medicine Physiological Circuits and the Dynamics of Disease

Why do we get certain diseases whereas other diseases do not exist? In this book Alon one of the founders of systems biology builds a foundation for systems medicine. Starting from basic laws the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them. By the end the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores in three parts hormone circuits immune circuits and aging and age-related disease. It culminates in a periodic table of diseases. Alon writes in a style accessible to a broad range of readers - undergraduates graduates or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper the book includes dozens of exercises that have been rigorously tested in the classroom | Systems Medicine Physiological Circuits and the Dynamics of Disease

GBP 54.99
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Programming for Hybrid Multi/Manycore MPP Systems

Programming for Hybrid Multi/Manycore MPP Systems

Ask not what your compiler can do for you ask what you can do for your compiler. John Levesque Director of Cray’s Supercomputing Centers of ExcellenceThe next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple instruction multiple data) processing units with SIMD (single instruction multiple data) parallel instructions. Since a standard affordable memory architecture will not be able to supply the bandwidth required by these cores new memory organizations will be introduced. These new node architectures will represent a significant challenge to application developers. Programming for Hybrid Multi/Manycore MPP Systems attempts to briefly describe the current state-of-the-art in programming these systems and proposes an approach for developing a performance-portable application that can effectively utilize all of these systems from a single application. The book starts with a strategy for optimizing an application for multi/manycore architectures. It then looks at the three typical architectures covering their advantages and disadvantages. The next section of the book explores the other important component of the target—the compiler. The compiler will ultimately convert the input language to executable code on the target and the book explores how to make the compiler do what we want. The book then talks about gathering runtime statistics from running the application on the important problem sets previously discussed. How best to utilize available memory bandwidth and virtualization is covered next along with hybridization of a program. The last part of the book includes several major applications and examines future hardware advancements and how the application developer may prepare for those advancements.

GBP 44.99
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Contemporary Abstract Algebra

Contemporary Abstract Algebra

Contemporary Abstract Algebra Tenth Edition For more than three decades this classic text has been widely appreciated by instructors and students alike. The book offers an enjoyable read and conveys and develops enthusiasm for the beauty of the topics presented. It is comprehensive lively and engaging. The author presents the concepts and methodologies of contemporary abstract algebra as used by working mathematicians computer scientists physicists and chemists. Students will learn how to do computations and to write proofs. A unique feature of the book are exercises that build the skill of generalizing a skill that students should develop but rarely do. Applications are included to illustrate the utility of the abstract concepts. Examples and exercises are the heart of the book. Examples elucidate the definitions theorems and proof techniques; exercises facilitate understanding provide insight and develop the ability to do proofs. The exercises often foreshadow definitions concepts and theorems to come. Changes for the tenth edition include new exercises new examples new quotes and a freshening of the discussion portions. The hallmark features of previous editions of the book are enhanced in this edition. These include: A good mixture of approximately 1900 computational and theoretical exercises including computer exercises that synthesize concepts from multiple chapters Approximately 300 worked-out examples from routine computations to the challenging Many applications from scientific and computing fields and everyday life Historical notes and biographies that spotlight people and events Motivational and humorous quotations Numerous connections to number theory and geometry While many partial solutions and sketches for the odd-numbered exercises appear in the book an Instructor’s Solutions Manual written by the author has comprehensive solutions for all exercises and some alternative solutions to develop a critical thought and deeper understanding. It is available from CRC Press only. The Student Solution Manual has comprehensive solutions for all odd-numbered exercises and many even-numbered exercises.

GBP 82.99
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Python for Bioinformatics

Python for Bioinformatics

In today's data driven biology programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience Python for Bioinformatics Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts the book focuses on the easy-to-use yet powerful Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases the Anaconda Python distribution graphical libraries like Bokeh and the use of Github for collaborative development.

GBP 74.99
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Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models explaining how a variety of instruments can be used to solve real life problems. At the moment there is no other tool in R or Python that would be able to model both intermittent and regular demand would support both ETS and ARIMA work with explanatory variables be able to deal with multiple seasonalities (e. g. for hourly demand data) and have a support for automatic selection of orders components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting ADAM being able to do all those things is a useful tool for data scientists business analysts and machine learning experts who work with time series as well as any researchers working in the area of dynamic models. Key Features: • It covers basics of forecasting • It discusses ETS and ARIMA models • It has chapters on extensions of ETS and ARIMA including how to use explanatory variables and how to capture multiple frequencies • It discusses intermittent demand and scale models for ETS ARIMA and regression • It covers diagnostics tools for ADAM and how to produce forecasts with it • It does all of that with examples in R.

GBP 89.99
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3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya 2e

3D Animation for the Raw Beginner Using Autodesk Maya is a hands-on academic textbook as well as a do-it-yourself training manual for the individual animator. This second edition has been completely rewritten to take into account updates to Autodesk Maya including Autodesk’s renderer Arnold. It contains entirely new examples and tutorial lessons. All 612 images are in full color. The book directs the reader to the parts of Maya that must be mastered in order to create complete 3D projects and thus it simplifies the process of taking on Maya’s vast and intricate interface while giving the reader a firm foundation on which to build future knowledge of Maya. It also presents brief examples of other popular 3D applications and rendering engines. This principles-based yet pragmatic book: Introduces the basic steps of the 3D modeling materials animation lighting and rendering processes. Presents clear and concise tutorials that link key concepts to practical techniques. Includes access to a webpage for the book: https://buzzking. com/AnimationTextbook/AnimationTextbook. html. On this webpage are videos that cover many of the lessons in the book as well as video tutorials that present bonus material not included in the book. Frees instructors from the painstaking task of developing step-by-step examples to present Maya’s complex interface and basic capabilities. Boasts an easy-to-follow tutorial-based learning style ideal for individual study by aspiring animators and do-it yourselfers. Roger Buzz King is a Professor Emeritus at the University of Colorado at Boulder where he teaches 3D Animation for the Computer Science Department and the Alliance for Technology Learning and Society (ATLAS) an institute dedicated to the application of technology to the arts. Buzz is an independent 3D animator who serves on the board of directors of a 3D animation startup. Buzz has a B. A. in Mathematics from Occidental College an M. S. and Ph. D. in Computer Science from the University of Southern California and an M. Div. from the Iliff School of Theology. Key Features Introduces critical aspects of the 3D animation process Presents clear and concise tutorials that link key concepts to practical techniques Includes access to a dedicated Web site http://3dbybuzz. com featuring useful videos lessons and updates Frees instructors from developing step-by-step examples to present Maya’s complex interface and basic Boasts an easy-to-follow hands-on learning style ideal for individual study by aspiring animators and do-ityourselfers | 3D Animation for the Raw Beginner Using Autodesk Maya 2e

GBP 48.99
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Foundations of Statistics for Data Scientists With R and Python

Foundations of Statistics for Data Scientists With R and Python

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar including probability distributions descriptive and inferential statistical methods and linear modeling. The book assumes knowledge of basic calculus so the presentation can focus on why it works as well as how to do it. Compared to traditional mathematical statistics textbooks however the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software with an appendix showing the same analyses with Python. Key Features: Shows the elements of statistical science that are important for students who plan to become data scientists. Includes Bayesian and regularized fitting of models (e. g. showing an example using the lasso) classification and clustering and implementing methods with modern software (R and Python). Contains nearly 500 exercises. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists such as Bayesian inference generalized linear models for non-normal responses (e. g. logistic regression and Poisson loglinear models) and regularized model fitting. The nearly 500 exercises are grouped into Data Analysis and Applications and Methods and Concepts. Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website (http://stat4ds. rwth-aachen. de/) has expanded R Python and Matlab appendices and all data sets from the examples and exercises. | Foundations of Statistics for Data Scientists With R and Python

GBP 82.99
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Abstract Algebra An Inquiry-Based Approach

Abstract Algebra An Inquiry-Based Approach

Abstract Algebra: An Inquiry-Based Approach Second Edition not only teaches abstract algebra but also provides a deeper understanding of what mathematics is how it is done and how mathematicians think. The second edition of this unique flexible approach builds on the success of the first edition. The authors offer an emphasis on active learning helping students learn algebra by gradually building both their intuition and their ability to write coherent proofs in context. The goals for this text include: Allowing the flexibility to begin the course with either groups or rings. Introducing the ideas behind definitions and theorems to help students develop intuition. Helping students understand how mathematics is done. Students will experiment through examples make conjectures and then refine or prove their conjectures. Assisting students in developing their abilities to effectively communicate mathematical ideas. Actively involving students in realizing each of these goals through in-class and out-of-class activities common in-class intellectual experiences and challenging problem sets. Changes in the Second Edition Streamlining of introductory material with a quicker transition to the material on rings and groups. New investigations on extensions of fields and Galois theory. New exercises added and some sections reworked for clarity. More online Special Topics investigations and additional Appendices including new appendices on other methods of proof and complex roots of unity. Encouraging students to do mathematics and be more than passive learners this text shows students the way mathematics is developed is often different than how it is presented; definitions theorems and proofs do not simply appear fully formed; mathematical ideas are highly interconnected; and in abstract algebra there is a considerable amount of intuition to be found. | Abstract Algebra An Inquiry-Based Approach

GBP 89.99
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Research Software Engineering with Python Building software that makes research possible

Research Software Engineering with Python Building software that makes research possible

Writing and running software is now as much a part of science as telescopes and test tubes but most researchers are never taught how to do either well. As a result it takes them longer to accomplish simple tasks than it should and it is harder for them to share their work with others than it needs to be. This book introduces the concepts tools and skills that researchers need to get more done in less time and with less pain. Based on the practical experiences of its authors who collectively have spent several decades teaching software skills to scientists it covers everything graduate-level researchers need to automate their workflows collaborate with colleagues ensure that their results are trustworthy and publish what they have built so that others can build on it. The book assumes only a basic knowledge of Python as a starting point and shows readers how it the Unix shell Git Make and related tools can give them more time to focus on the research they actually want to do. Research Software Engineering with Python can be used as the main text in a one-semester course or for self-guided study. A running example shows how to organize a small research project step by step; over a hundred exercises give readers a chance to practice these skills themselves while a glossary defining over two hundred terms will help readers find their way through the terminology. All of the material can be re-used under a Creative Commons license and all royalties from sales of the book will be donated to The Carpentries an organization that teaches foundational coding and data science skills to researchers worldwide. | Research Software Engineering with Python Building software that makes research possible

GBP 56.99
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Telling Stories with Data With Applications in R

Telling Stories with Data With Applications in R

The book equips students with the end-to-end skills needed to do data science. That means gathering cleaning preparing and sharing data then using statistical models to analyse data writing about the results of those models drawing conclusions from them and finally using the cloud to put a model into production all done in a reproducible way. At the moment there are a lot of books that teach data science but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets cleaning and preparing them before analysing them. There are also a lot of books that teach statistical modelling but few of them teach how to communicate the results of the models and how they help us learn about the world. Very few data science textbooks cover ethics and most of those that do have a token ethics chapter. Finally reproducibility is not often emphasised in data science books. This book is based around a straight-forward workflow conducted in an ethical and reproducible way: gather data prepare data analyse data and communicate those findings. This book will achieve the goals by working through extensive case studies in terms of gathering and preparing data and integrating ethics throughout. It is specifically designed around teaching how to write about the data and models so aspects such as writing are explicitly covered. And finally the use of GitHub and the open-source statistical language R are built in throughout the book. Key Features: Extensive code examples. Ethics integrated throughout. Reproducibility integrated throughout. Focus on data gathering messy data and cleaning data. Extensive formative assessment throughout. | Telling Stories with Data With Applications in R

GBP 74.99
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Anyone Can Code The Art and Science of Logical Creativity

Anyone Can Code The Art and Science of Logical Creativity

Anyone Can Code: The Art and Science of Logical Creativity introduces computer programming as a way of problem-solving through logical thinking. It uses the notion of modularization as a central lens through which we can make sense of many software concepts. This book takes the reader through fundamental concepts in programming by illustrating them in three different and distinct languages: C/C++ Python and Javascript. Key features: Focuses on problem-solving and algorithmic thinking instead of programming functions syntax and libraries; Includes engaging examples including video games and visual effects; Provides exercises and reflective questions. This book gives beginner and intermediate learners a strong understanding of what they are doing so that they can do it better and with any other tool or language that they may end up using later. | Anyone Can Code The Art and Science of Logical Creativity

GBP 56.99
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Introduction to Number Theory

Introduction to Number Theory

Introduction to Number Theory covers the essential content of an introductory number theory course including divisibility and prime factorization congruences and quadratic reciprocity. The instructor may also choose from a collection of additional topics. Aligning with the trend toward smaller essential texts in mathematics the author strives for clarity of exposition. Proof techniques and proofs are presented slowly and clearly. The book employs a versatile approach to the use of algebraic ideas. Instructors who wish to put this material into a broader context may do so though the author introduces these concepts in a non-essential way. A final chapter discusses algebraic systems (like the Gaussian integers) presuming no previous exposure to abstract algebra. Studying general systems helps students to realize unique factorization into primes is a more subtle idea than may at first appear; students will find this chapter interesting fun and quite accessible. Applications of number theory include several sections on cryptography and other applications to further interest instructors and students alike.

GBP 38.99
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Understanding Artificial Intelligence

Understanding Artificial Intelligence

Artificial Intelligence (AI) fascinates challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However only a few people truly understand what AI is what it can do and what its limitations are. Understanding Artificial Intelligence explains through a straightforward narrative and amusing illustrations how AI works. It is written for a non-specialist reader adult or adolescent who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called intelligent machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.

GBP 31.99
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Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation but is this true? Given that the policing and judicial systems can display human bias this book explores how the technology they use can also reflect these prejudices. From healthcare services to social scoring in exams to applying for and getting loans AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert this book attempts to demystify the algorithmic black box. AI pervades all aspects of modern society and affects everyone within it yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it including the introduction of a proposed AI Bill of Rights whilst also providing specific recommendations for AI developers and technologists. https://hiddeninwhitesight. com/ | Hidden in White Sight How AI Empowers and Deepens Systemic Racism

GBP 22.99
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Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers

In engineering and quality control various situations including process validation and design verification require equivalence and noninferiority tests. Equivalence and Noninferiority Tests for Quality Manufacturing and Test Engineers presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. The book covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. It provides computational formulas for the tests methods to determine or justify sample sizes and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS R and JMP. This book provides you with a guide to performing validation and verification tests that demonstrate the adequacy of your process system or product. It will help you choose the best test for your application.

GBP 59.99
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Mathematical Modelling with Differential Equations

Mathematical Modelling with Differential Equations

Mathematical Modelling with Differential Equations aims to introduce various strategies for modelling systems using differential equations. Some of these methodologies are elementary and quite direct to comprehend and apply while others are complex in nature and require thoughtful deep contemplation. Many topics discussed in the chapter do not appear in any of the standard textbooks and this provides users an opportunity to consider a more general set of interesting systems that can be modelled. For example the book investigates the evolution of a toy universe discusses why alternate futures exists in classical physics constructs approximate solutions to the famous Thomas—Fermi equation using only algebra and elementary calculus and examines the importance of truly nonlinear and oscillating systems. Features Introduces defines and illustrates the concept of dynamic consistency as the foundation of modelling. Can be used as the basis of an upper-level undergraduate course on general procedures for mathematical modelling using differential equations. Discusses the issue of dimensional analysis and continually demonstrates its value for both the construction and analysis of mathematical modelling.

GBP 82.99
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Data Science for Water Utilities Data as a Source of Value

Data Science for Water Utilities Data as a Source of Value

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that with each case study increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. | Data Science for Water Utilities Data as a Source of Value

GBP 44.99
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Bayesian Designs for Phase I-II Clinical Trials

Bayesian Designs for Phase I-II Clinical Trials

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time if promising preclinical results do not translate into a real treatment advance it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes. Written by research leaders from the University of Texas MD Anderson Cancer Center this book shows how Bayesian designs for early-phase clinical trials can explore refine and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity. | Bayesian Designs for Phase I-II Clinical Trials

GBP 38.99
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The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

This book examines how global technological advances shape the way we work and allocate work today and how we might do so in the future exploring advances in robotics artificial intelligence green technology and implications for workforce skills and future welfare. It uses Australia as a case study contrasting the country’s experience to those elsewhere. The book is a cross-disciplinary collaboration that brings together the expertise of engineers data scientists economists and sociologists. The reader is offered an overview of the current uses of advanced digital technologies and what it means for today’s workforce society and economy. The book also looks to the future. Current uses of advanced technologies lag its already existing capability. The contributions note potential future applications of technology and the economic social and workplace implications of technological change. This book should be of interest to anyone studying and wishing to better understand what work might look like in the future and how we might prepare for likely changes. | The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

GBP 44.99
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STEM Problems with Mathcad and Python

STEM Problems with Mathcad and Python

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians engineers scientists and other STEM researchers. The authors hope to show that such calculations can be not only useful but that the process of learning how to do them can be enjoyable especially with the help of Mathcad and Python programming skills. The book will also illustrate how the use of modern computer software allows one to significantly expand the range of problems considered beyond those conventionally taught. This includes computational experiments multivariate calculations inverse problems and optimization problems with both static and animated visual feedback. Features Suitable for undergraduates and early postgraduates who need simple and accessible guidance for solving practical interdisciplinary technical problems Can be used as an additional textbook in a variety of topics including Calculus Linear Algebra Analytical Geometry Discrete Mathematics Computer Science Computational Mathematics Scientific Visualization Computer Graphics Gives computer users access to an exciting new hobby - solving complex problems described in fiction

GBP 99.99
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Statistics for Finance

Statistics for Finance

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University the text bridges the gap between classical rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques including linear and nonlinear time series analysis stochastic calculus models stochastic differential equations Itō’s formula the Black–Scholes model the generalized method-of-moments and the Kalman filter. They explain how these tools are used to price financial derivatives identify interest rate models value bonds estimate parameters and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition end-of-chapter exercises develop students’ financial reasoning skills.

GBP 44.99
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A Criminologist's Guide to R Crime by the Numbers

A Criminologist's Guide to R Crime by the Numbers

A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book a person without any prior programming experience can take raw crime data be able to clean it visualize the data present it using R Markdown and change it to a format ready for analysis. A Criminologist's Guide to R focuses on skills specifically for criminology such as spatial joins mapping and scraping data from PDFs however any social scientist looking for an introduction to R for data analysis will find this useful. Key Features: Introduction to RStudio including how to change user preference settings. Basic data exploration and cleaning – subsetting loading data regular expressions aggregating data. Graphing with ggplot2. How to make maps (hotspot maps choropleth maps interactive maps). Webscraping and PDF scraping. Project management – how to prepare for a project how to decide which projects to do best ways to collaborate with people how to store your code (using git) and how to test your code. | A Criminologist's Guide to R Crime by the Numbers

GBP 74.99
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How Things Work The Computer Science Edition

How Things Work The Computer Science Edition

It’s axiomatic to state that people fear what they do not understand and this is especially true when it comes to technology. However despite their prevalence computers remain shrouded in mystery and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics the book demystifies the mysterious world of computer science explains its fundamental concepts in simple terms and answers the questions many users feel too intimidated to ask. By the end of the book readers will understand how computers and smart devices function and more important how they can make these devices work for them. To complete the picture the book also introduces readers to the darker side of modern technology: security and privacy concerns identity theft and threats from the Dark Web. | How Things Work The Computer Science Edition

GBP 48.99
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