Models probability statistical inference von stapleton james (6 Ergebnisse)

Sprache: Englisch
Verlag: Wiley, 2008
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
- Hardcover
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Sprache: Englisch
Verlag: Wiley-Interscience, 2007
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
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Zustand: New. In.

Sprache: Englisch
Verlag: John Wiley & Sons, 2007
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
- Hardcover
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Zustand: New. pp. xiii + 440 Illus.

Sprache: Englisch
Verlag: Wiley-Interscience, 2007
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 440 pages. 9.50x6.50x1.25 inches. In Stock.

Sprache: Englisch
Verlag: John Wiley and Sons Ltd, 2007
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
- Hardcover
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Zustand: New. Serving as a text for a two semester sequence on probability and statistical inference complex Models for Probability and Statistical Inference: Theory and Applications features exercises throughout the book and selected answers (not solutions). Each section is followed by a selection of problems, from simple to mo…re complex. Series: Wiley Series in Probability and Statistics. Num Pages: 464 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 239 x 161 x 28. Weight in Grams: 790. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Sprache: Englisch
Verlag: Wiley Dez 2007, 2007
Serie: Buch 215 von 358 - Wiley Series in Probability and Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Neuware - This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readersModels for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With de…tailed theoretical coverage found throughout the book, readers acquire the fundamentals needed to advance to more specialized topics, such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping.Ideal as a textbook for a two-semester sequence on probability and statistical inference, early chapters provide coverage on probability and include discussions of: discrete models and random variables; discrete distributions including binomial, hypergeometric, geometric, and Poisson; continuous, normal, gamma, and conditional distributions; and limit theory. Since limit theory is usually the most difficult topic for readers to master, the author thoroughly discusses modes of convergence of sequences of random variables, with special attention to convergence in distribution. The second half of the book addresses statistical inference, beginning with a discussion on point estimation and followed by coverage of consistency and confidence intervals. Further areas of exploration include: distributions defined in terms of the multivariate normal, chi-square, t, and F (central and non-central); the one- and two-sample Wilcoxon test, together with methods of estimation based on both; linear models with a linear space-projection approach; and logistic regression.Each section contains a set of problems ranging in difficulty from simple to more complex, and selected answers as well as proofs to almost all statements are provided. An abundant amount of figures in addition to helpful simulations and graphs produced by the statistical package S-Plus(r) are included to help build the intuition of readers.