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Estadística Matemática Con remuestreo y R por Laura M. Chihara: utilizado - gebunden oder broschiert
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2011, ISBN: 9781118029855
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Tim C. Hesterberg, Laura M. Chihara:
Estadística Matemática Con remuestreo y R por Laura M. Chihara: utilizado - gebunden oder broschiertISBN: 9781118029855
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2011
ISBN: 9781118029855
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ISBN: 9781118029855
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ISBN: 9781118029855
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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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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