Mathematical Statistics with Resampling and R 3e by Laura M. Chihara US Edition

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Year
2015
Field of Study
Psychology
Product Type
Textbook
Educational Level
College
Topic
Speaking & Listening
ISBN
9781119874034
Subject Area
Mathematics
Publication Name
Mathematical Statistics with Resampling and R
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.2 in
Subject
Probability & Statistics / General, General
Publication Year
2022
Type
Textbook
Format
Hardcover
Language
English
Item Height
1 in
Author
Tim C. Hesterberg, Laura M. Chihara
Item Weight
27.3 Oz
Item Width
6.2 in
Number of Pages
576 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119874033
ISBN-13
9781119874034
eBay Product ID (ePID)
2328301939

Product Key Features

Number of Pages
576 Pages
Publication Name
Mathematical Statistics with Resampling and R
Language
English
Subject
Probability & Statistics / General, General
Publication Year
2022
Type
Textbook
Subject Area
Mathematics
Author
Tim C. Hesterberg, Laura M. Chihara
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
27.3 Oz
Item Length
9.2 in
Item Width
6.2 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2022-008656
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
310
Synopsis
Mathematical Statistics with Resampling and R This thoroughly updated third 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 third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book is classroom-tested to ensure an accessible presentation, and uses the powerful and flexible computer language R for data analysis. This book introduces permutation tests and bootstrap methods to motivate classical inference methods, as well as to be utilized as useful tools in their own right when classical methods are inaccurate or unavailable. The book strikes a balance between simulation, computing, theory, data, and applications. Throughout the book, new and updated case studies representing a diverse range of subjects, such as flight delays, birth weights of babies, U.S. demographics, views on sociological issues, and problems at Google and Instacart, illustrate the relevance of mathematical statistics to real-world applications. Changes and additions to the third edition include: New and updated case studies that incorporate contemporary subjects like COVID-19 Several new sections, including introductory material on causal models and regression methods for causal modeling in practice Modern terminology distinguishing statistical discernibility and practical importance New exercises and examples, data sets, and R code, using dplyr and ggplot2 A complete instructor's solutions manual A new github site that contains code, data sets, additional topics, and instructor resources Mathematical Statistics with Resampling and R is an ideal textbook for undergraduate and graduate students in mathematical statistics courses, as well as practitioners and researchers looking to expand their toolkit of resampling and classical techniques.
LC Classification Number
QA278.8.C45 2022

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