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Advances in latent class analysis
Latent class analysis (LCA) has evolved from a categorical data tool to a broader mixture modeling framework. This volume, part of the CILVR series, highlights LCA's growth, inspired by C. Mitchell Dayton's contributions, and explores its future in defining subpopulations and integrating measured...
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Bayesian models
A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematic...
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Classical probability in the enlightenment, new edition
An award-winning history of the Enlightenment quest to devise a mathematical model of rationalityWhat did it mean to be reasonable in the Age of Reason? Enlightenment mathematicians such as Blaise Pascal, Jakob Bernoulli, and Pierre Simon Laplace sought to answer this question, laboring over a th...
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Data analysis for scientists and engineers
Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt th...
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Data visualization
An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data usin...
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Handbook of meta-analysis in ecology and evolution
Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as...
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Introduction to mathematical sociology
A comprehensive textbook on the tools of mathematical sociology and their applicationsMathematical models and computer simulations of complex social systems have become everyday tools in sociology. Yet until now, students had no up-to-date textbook from which to learn these techniques. Introducti...
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Mathematical properties of population-genetic statistics
A powerful new approach to interpreting population-genetic data in evolution and ecologyPopulation genetics uses statistical analysis to catalog genetic variation among populations and species. Summary statistics computed from allele frequencies—mathematical functions that measure features of gen...
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Mathletics
How to use math to improve performance and predict outcomes in professional sportsMathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and...
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Multilevel modeling methods with introductory and advanced applications
"Multilevel Modeling Methods" introduces multilevel modeling for researchers and advanced students. It serves as a textbook for courses, covering topics from basic to advanced, including organizational and longitudinal research, advanced applications, design issues, and special topics like large-...
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Optimization and learning via stochastic gradient search
An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation. Although the approach is theoretical, the book emphasizes...
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Patterns, predictions, and actions
An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impactsPatterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social impli...
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Probability and statistics for economists
A comprehensive and up-to-date introduction to the mathematics that all economics students need to knowProbability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD student...
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Probability, markov chains, queues, and simulation
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to grad...
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Scouting and scoring
An in-depth look at the intersection of judgment and statistics in baseballScouting and scoring are considered fundamentally different ways of ascertaining value in baseball. Scouting seems to rely on experience and intuition, scoring on performance metrics and statistics. In Scouting and Scoring...
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Statistical thinking
An essential introduction to statistics for students of psychology and the social sciencesStatistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main i...
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Statistics by simulation
An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical ...
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Ten great ideas about chance
A fascinating account of the breakthrough ideas that transformed probability and statisticsIn the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that...
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The esri guide to gis analysis, volume 2
See why you don't need to understand complex mathematical theories to apply statistical tools in your GIS projects in The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics.
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The probability lifesaver
The essential lifesaver for students who want to master probabilityFor students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introductio...
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The rise of statistical thinking, 1820–1900
An essential work on the origins of statisticsThe Rise of Statistical Thinking, 1820–1900 explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century. Theodore ...
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To think like a statistician
Why you don’t need to be a statistician to think like oneA fire hose of information bombards us every day, and some of it is even true. Is Bitcoin a good investment? Are hurricanes getting worse? Is the measles vaccine dangerous? Separating the wheat from the chaff is what statisticians do—and th...
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X and the city
What mathematical modeling uncovers about life in the cityX and the City, a book of diverse and accessible math-based topics, uses basic modeling to explore a wide range of entertaining questions about urban life. How do you estimate the number of dental or doctor's offices, gas stations, restaur...
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