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Hardcover. Condition: New. 3rd Edition. Brand New US Edition textbook. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.
Language: English
Published by John Wiley & Sons Inc, 2011
ISBN 10: 1118029852 ISBN 13: 9781118029855
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 440 pages. 9.53x6.34x1.06 inches. In Stock.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Language: English
Published by John Wiley and Sons Inc, US, 2022
ISBN 10: 1119874033 ISBN 13: 9781119874034
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. 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-19Several new sections, including introductory material on causal models and regression methods for causal modeling in practiceModern terminology distinguishing statistical discernibility and practical importanceNew exercises and examples, data sets, and R code, using dplyr and ggplot2A complete instructor's solutions manualA 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.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Gebunden. Condition: New. LAURA M. CHIHARA, PHD, is Professor of Mathematics and Statistics at Carleton College. She has extensive experience teaching mathematics and statistics and has worked as Educational Services Supervisor at Insightful Corporation.TIM C. HESTERBERG, PHD, is Se.
Hardcover. Condition: New. New. book.
Language: English
Published by John Wiley and Sons Inc, US, 2022
ISBN 10: 1119874033 ISBN 13: 9781119874034
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. 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-19Several new sections, including introductory material on causal models and regression methods for causal modeling in practiceModern terminology distinguishing statistical discernibility and practical importanceNew exercises and examples, data sets, and R code, using dplyr and ggplot2A complete instructor's solutions manualA 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.
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