Books from Chapman & Hall/CRC
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JavaScript for Data Science
By Greg Wilson, Maya Gans, Toby HodgesThis book introduces readers to JavaScript's power and idiosyncrasies, and guides them through the key features of the modern version of the language and its tools and libraries.
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Statistics in the Health Sciences: Theory, Applications, and Computing
By Albert Vexler, Alan D. HutsonThis book should be appropriate for use both as a text and as a reference. This book delivers a ready-to-go well-structured product to be employed in developing advanced courses.
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Self-Controlled Case Series Studies
By Paddy Farrington, Heather Whitaker, Yonas Ghebremichael WeldeselassieThe method only requires information from individuals who have experienced the event of interest, and automatically controls for multiplicative time-invariant confounders, even when these are unmeasured or unknown.
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Introduction to Proteins: Structure, Function, and Motion
By Amit Kessel, Nir Ben-TalIntroduction to Proteins shows how proteins can be analyzed in multiple ways.
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Introduction to Recognition and Deciphering of Patterns
By Michael A. RadinThis book aims to get STEM and non-STEM students acquainted with different patterns, as well as where and when specific patterns arise.
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Introduction to Math Olympiad Problems
By Michael A. RadinThe techniques employed in the book will help prepare students for the topics they will typically face in an Olympiad-style event, but also for future college mathematics courses in Discrete Mathematics, Graph Theory, Differential Equations ...
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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
By Mark Chang, John Balser, Robin Bliss"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials.
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Sampling Theory and Sampling Practice: Heterogeneity, Sampling Correctness, and Statistical Process Control
By Francis F. PitardThe only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by all sampling practitioners around the world.
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APL with a Mathematical Accent
By C. A. ReiterAPL is of primary interst as a concise and powerful programming language for certain kinds of computations. This book can be used as the main text for a course but it is also brief enough to be used as a supplement.
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An Introduction to Generalized Linear Models
By Annette J. Dobson, Adrian G. BarnettThe book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
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An Introduction to Generalized Linear Models
By Annette J. Dobson, Adrian G. BarnettThe book provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods.
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Error Correcting Codes: A Mathematical Introduction
By John BaylisIntroducing the reader to the basics of coding theory, this text covers practical and theoretical computing and problem-solving.
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Handbook of Financial Risk Management
By Thierry RoncalliHandbook of Financial Risk Management offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them.
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A Handbook of Statistical Analysis Using SPSS
By Sabine Landau, Brian S EverittShows how to conduct a range of univariate and multivariate statistical analysis using the Statistical Package for the Social Sciences, version 11.
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Encyclopedia of Knot Theory
By Colin AdamsMany of the articles in this book are accessible to undergraduates who are working on research or taking an advanced undergraduate course in knot theory.
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Sports Math: An Introductory Course in the Mathematics of Sports Science and Sports Analytics
By Roland B. Minton"This is a textbook for a course in sports science or sports analytics.
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Stochastic Financial Models
By Douglas KennedyDeveloped from the esteemed author's advanced undergraduate and graduate courses at the University of Cambridge, this text provides a hands-on, sound introduction to mathematical finance.
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A Guide to MATLAB Object-Oriented Programming
By Andy H. RegisterThe first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB(R), this guide aids readers in creating effective software.
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Analysis of Messy Data Volume II
By George A. Milliken, Dallas E. JohnsonAnalysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.
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Mathematics in Cyber Research
By Paul L. Goethals, Natalie Michele Scala, Daniel T. BennettMathematics in Cyber Research aims to familiarize educators and young researchers with the breadth of mathematics in cyber-related research.