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Chihara, Laura M.; Hesterberg, Tim C:

Mathematical Statistics with Resampling and R - Taschenbuch

2011, ISBN: 9781118029855

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paperback. Good. Access codes and supplements are not guaranteed with used items., 2.5, New York: Hudson Street Press, 2005. First edition. First printing [stated]. Hardcover. Very good… Mehr…

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Estadística Matemática Con remuestreo y R por Laura M. Chihara: utilizado - Tim C. Hesterberg, Laura M. Chihara
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Estadística Matemática Con remuestreo y R por Laura M. Chihara: utilizado - gebunden oder broschiert

ISBN: 9781118029855

Very Good Used Hard cover, En muy buen estado, Festpreisangebot, [LT: FixedPrice], Publication Date: 2011-08-12, Pages: 432, EAN: 9781118029855, Publication Year: 2011, Type: Textbook, Fo… Mehr…

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Chihara, Laura M., and Hesterberg, Tim C.:
Mathematical Statistics with Resampling and R - gebunden oder broschiert

2011

ISBN: 9781118029855

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Laura M. Chihara, Tim C. Hesterberg:
Mathematical Statistics with Resampling and R - Taschenbuch

ISBN: 9781118029855

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Chihara, Laura M., Hesterberg, Tim C.:
Mathematical Statistics with Resampling and R - gebrauchtes Buch

ISBN: 9781118029855

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Bibliographische Daten des bestpassenden Buches

Details zum Buch
Mathematical Statistics with Resampling and R

This groundbreaking book shows how apply modern resampling techniques to mathematical statistics. The book includes permutation tests and bootstrap methods and classical inference methods. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The use of R throughout the book underscores the significance of resampling since its implementation is fast enough to be both convenient and explanatory. While computer clock speeds have leveled off, new multi-core computers are well suited for parallel applications like resampling. The book contains examples, figures, exercise sets, case studies, and helpful remarks. An author-maintained web site is available.

Detailangaben zum Buch - Mathematical Statistics with Resampling and R


EAN (ISBN-13): 9781118029855
ISBN (ISBN-10): 1118029852
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 20111007
Herausgeber: John Wiley & Sons Inc
418 Seiten
Gewicht: 0,776 kg
Sprache: Englisch

Buch in der Datenbank seit 2011-08-03T23:02:07+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-04-12T17:37:07+02:00 (Berlin)
ISBN/EAN: 9781118029855

ISBN - alternative Schreibweisen:
1-118-02985-2, 978-1-118-02985-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hesterberg, tim, hester, chihara
Titel des Buches: mathematical statistics with mathematica, resampling the new statistics


Daten vom Verlag:

Autor/in: Laura M. Chihara
Titel: Mathematical Statistics with Resampling and R
Verlag: John Wiley & Sons
432 Seiten
Erscheinungsjahr: 2011-08-12
Gewicht: 0,798 kg
Sprache: Englisch
132,00 € (DE)
161mm x 242mm x 27mm

BB; gebunden; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Statistik / Lehr- u. Nachschlagewerke; Statistics; Statistik; Probability & Mathematical Statistics; Mathematische Statistik; Statistics - Text & Reference; Wahrscheinlichkeitsrechnung u. mathematische Statistik; Wahrscheinlichkeitsrechnung u. mathematische Statistik; Allg. Statistik; Statistik / Lehr- u. Nachschlagewerke

This book bridges 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. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: * Exploratory data analysis * Calculation of sampling distributions * The Central Limit Theorem * Monte Carlo sampling * Maximum likelihood estimation and properties of estimators * Confidence intervals and hypothesis tests * Regression * Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. Mathematical Statistics with Resampling and R is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

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