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  • Introduction to Probability and Statistics for Ecosystem Managers

    Simulation and Resampling

    Series series Statistics in Practice
    Explores computer-intensive probability and statistics for ecosystem management decision makingSimulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to future and practicing ecosystem managers by providing a comprehensive treatment of these two areas. The author presents a self-contained introduction for ... Leer más

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  • The Book of R

    A First Course in Programming and Statistics

    The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.You’ll start with the basics, like how to handle data and write simple ... Leer más

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  • Elementary Probability for Applications

    de Rick Durrett ...
    This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn ... Leer más

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  • Linear Mixed-Effects Models Using R

    A Step-by-Step Approach

    Series series Mathematics and Statistics (R0)
    Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state ... Leer más

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  • Introduction to Stochastic Models

    This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, ... Leer más

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  • Statistical Programming with SAS/IML Software

    de Rick Wicklin ...
    SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML ... Leer más

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  • Randomization in Clinical Trials

    Theory and Practice

    Series series Wiley Series in Probability and Statistics
    Praise for the First Edition“All medical statisticians involved in clinical trials should read this book…”- Controlled Clinical TrialsFeaturing a unique combination of the applied aspects of randomization in clinical trials with a nonparametric approach to inference, Randomization in Clinical Trials: Theory and Practice, Second Edition is the go-to guide for biostatisticians and p... ... Leer más

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  • Weight-of-Evidence for Forensic DNA Profiles

    Series series Statistics in Practice
    DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting. It offers practical guidance to forensic scientists with little dependence on mathematical ability, and ... Leer más

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  • Statistical Models in S

    Edición de T.J. Hastie, J. M. Chambers ...
    Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and ... Leer más

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  • Acceptance Sampling in Quality Control

    Acceptance Sampling in Quality Control, Third Edition presents the state of the art in the methodology of sampling while integrating both theory and best practices. It discusses various standards, including those from the ISO, MIL-STD and ASTM and explores how to set quality levels. The book also includes problems at the end of each chapter with solutions. This edition improves upon theprevious ... Leer más

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  • Social Networks and their Economics

    Influencing Consumer Choice

    de Daniel Birke ...
    Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA)Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily ... Leer más

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  • Optimal Mixture Experiments

    Series series Mathematics and Statistics (R0)
    The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable ... Leer más

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