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Learn Python the Hard Way, 5th Edition (Final) Learn Python the Hard Way, 5th Edition (Final) Software Project Management: Methods and Techniques Software Project Management: Methods and Techniques Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques PROC FCMP User-Defined Functions: An Introduction to the SAS Function Compiler PROC FCMP User-Defined Functions: An Introduction to the SAS Function Compiler R for the Rest of Us: A Statistics-Free Introduction R for the Rest of Us: A Statistics-Free Introduction Самый лучший пароход (1980) Самый лучший пароход (1980) Золотой луг Золотой луг Три богатыря (Былинные сказы) Три богатыря (Былинные сказы) Рассказы о войне (Школьная библиотека) Рассказы о войне (Школьная библиотека) Лисичкин хлеб (1980) Лисичкин хлеб (1980) Effective Software Architecture: Building Better Software Faster (Final) Effective Software Architecture: Building Better Software Faster (Final) Your Code as a Crime Scene, 2nd Edition Your Code as a Crime Scene, 2nd Edition Русский голем (2005) Русский голем (2005) Введение в тензорный анализ. С приложениями к геометрии, механике и физике Введение в тензорный анализ. С приложениями к геометрии, механике и физике Экономико-математическое моделирование: Практическое пособие по решению задач Экономико-математическое моделирование: Практическое пособие по решению задач Броня русской армии: бронеавтомобили и бронепоезда в Первой мировой войне Броня русской армии: бронеавтомобили и бронепоезда в Первой мировой войне
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Mathematical Statistics with Resampling and R (2nd edition)
Добавил: literator / 26-11-2018, 15:46 /
Название: Mathematical Statistics with Resampling and R (2nd edition)
Автор: Laura M. Chihara, Tim C. Hesterberg
Издательство: Wiley
ISBN: 111941654X
Год: 2018
Страниц: 560
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

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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