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Books > Science & Mathematics > Mathematics > Probability & statistics
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Mathematical Statistics with Resampling and R, Second Edition (Hardcover, 2nd Edition)
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Mathematical Statistics with Resampling and R, Second Edition (Hardcover, 2nd Edition)
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This thoroughly updated second edition combines the latest software
applications with the benefits of modern resampling techniques
Resampling helps students understand the meaning of sampling
distributions, sampling variability, P-values, hypothesis tests,
and confidence intervals. The second edition of Mathematical
Statistics with Resampling and R combines modern resampling
techniques and mathematical statistics. This book has been
classroom-tested to ensure an accessible presentation, uses the
powerful and flexible computer language R for data analysis and
explores the benefits of modern resampling techniques. This book
offers an introduction to permutation tests and bootstrap methods
that can serve to motivate classical inference methods. The book
strikes a balance between theory, computing, and applications, and
the new edition explores additional topics including consulting,
paired t test, ANOVA and Google Interview Questions. Throughout the
book, new and updated case studies are included representing a
diverse range of subjects such as flight delays, birth weights of
babies, and telephone company repair times. These illustrate the
relevance of the real-world applications of the material. This new
edition: - Puts the focus on statistical consulting that emphasizes
giving a client an understanding of data and goes beyond typical
expectations - Presents new material on topics such as the paired t
test, Fisher's Exact Test and the EM algorithm - Offers a new
section on "Google Interview Questions" that illustrates
statistical thinking - Provides a new chapter on ANOVA - Contains
more exercises and updated case studies, data sets, and R code
Written for undergraduate students in a mathematical statistics
course as well as practitioners and researchers, the second edition
of Mathematical Statistics with Resampling and R presents a revised
and updated guide for applying the most current resampling
techniques to mathematical statistics.
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