Probability and mathematical statistics : theory, applications, and practice in R

Author(s)

    • Meyer, Mary (Mary Catherine)

Bibliographic Information

Probability and mathematical statistics : theory, applications, and practice in R

Mary C. Meyer

(OT, 162)

Society for Industrial and Applied Mathematics, c2019

Available at  / 5 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

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