Probability and Mathematical Statistics: Theory, Applications, and Practice in R

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Probability and Mathematical Statistics: Theory, Applications, and Practice in R

Mary C. Meyer

ISBN10: 1611975778

ISBN13: 978-1611975772

Probability and Mathematical Statistics: Theory, Applications, and Practice in R

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This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence.

The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math.

Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.

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title Probability and Mathematical Statistics
subtitle Theory, Applications, and Practice in R
authors Mary Meyer
publisher Society for Industrial and Applied Mathematics (SIAM)
publishedDate 2019
printType BOOK
categories Mathematical statistics
maturityRating NOT_MATURE
panelizationSummary
language en
canonicalVolumeLink https://books.google.com/books/about/Probability_and_Mathematical_Statistics.html?hl=&id=GDuMwwEACAAJ

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