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ISBN: 9780387406213
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Exact Statistical Methods for Data Analysis. Samaradasa Weerahandi, - Buch - nuovo livroISBN: 9780387406213
Exact Statistical Methods for Data Analysis. Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems inv… mais…
2003
ISBN: 0387406212
[EAN: 9780387406213], [PU: New York, Springer, 2003.], Computers & the Internet|Data Processing, Computers & the Internet|Data Processing|General, Mathematics|Probability & Statistics|Gen… mais…
ISBN: 9780387406213
Paperback, [PU: Springer-Verlag New York Inc.], Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems … mais…
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ISBN: 9780387406213
Springer. PAPERBACK. 3319834568 Special order direct from the distributor . New., Springer, Springer. PAPERBACK. 0387406212 Like New Condition. . Fine., Springer
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Dados detalhados do livro - Exact Statistical Methods for Data Analysis
EAN (ISBN-13): 9780387406213
ISBN (ISBN-10): 0387406212
Livro de bolso
Ano de publicação: 2003
Editor/Editora: SPRINGER VERLAG GMBH
342 Páginas
Peso: 0,490 kg
Língua: eng/Englisch
Livro na base de dados desde 2007-05-09T09:41:53-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-11-07T18:42:37-03:00 (Sao Paulo)
Número ISBN/EAN: 9780387406213
Número ISBN - Ortografia alternativa:
0-387-40621-2, 978-0-387-40621-3
Ortografia alternativa e termos de pesquisa relacionados:
Título do livro: methods statistics, springer series, new methods analysis, exact, statistical methods for non precise data
Dados da editora
Autor: Samaradasa Weerahandi
Título: Springer Series in Statistics; Exact Statistical Methods for Data Analysis
Editora: Springer; Springer US
329 Páginas
Ano de publicação: 2003-10-17
New York; NY; US
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 329 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; data analysis; analysis of variance; ANOVA; binomial distribution; estimator; Hypothese; likelihood; linear regression; normal distribution; Parameter; Power; statistical inference; statistical methods; statistics; Variance; Statistical Theory and Methods; Probability Theory; Stochastik; BB
1 Preliminary Notions.- 1.1 Introduction.- 1.2 Sufficiency.- 1.3 Complete Sufficient Statistics.- 1.4 Exponential Families of Distributions.- 1.5 Invariance.- 1.6 Maximum Likelihood Estimation.- 1.7 Unbiased Estimation.- 1.8 Least Squares Estimation.- 1.9 Interval Estimation.- Exercises.- 2 Notions in significance testing of hypotheses.- 2.1 Introduction.- 2.2 Test Statistics and Test Variables.- 2.3 Definition of p-Value.- 2.4 Generalized Likelihood Ratio Method.- 2.5 Invariance in Significance Testing.- 2.6 Unbiasedness and Similarity.- 2.7 Interval Estimation and Fixed-Level Testing.- Exercises.- 3 Review of Special Distributions.- 3.1 Poisson and Binomial Distributions.- 3.2 Point Estimation and Interval Estimation.- 3.3 Significance Testing of Parameters.- 3.4 Bayesian Inference.- 3.5 The Normal Distribution.- 3.6 Inferences About the Mean.- 3.7 Inferences About the Variance.- 3.8 Quantiles of a Normal Distribution.- 3.9 Conjugate Prior and Posterior Distributions.- 3.10 Bayesian Inference About the Mean and the Variance.- Exercises.- 4 Exact Nonparametric Methods.- 4.1 Introduction.- 4.2 The Sign Test.- 4.3 The Signed Rank Test and the Permutation Test.- 4.4 The Rank Sum Test and Allied Tests.- 4.5 Comparing k Populations.- 4.6 Contingency Tables.- 4.7 Testing the Independence of Criteria of Classification.- 4.8 Testing the Homogeneity of Populations.- Exercises.- 5 Generalized p-Values.- 5.1 Introduction.- 5.2 Generalized Test Variables.- 5.3 Definition of Generalized p-Values.- 5.4 Frequency Interpretations and Generalized Fixed-Level Tests.- 5.5 Invariance.- 5.6 Comparing the Means of Two Exponential Distributions.- 5.7 Unbiasedness and Similarity.- 5.7 Comparing the Means of an Exponential Distribution and a Normal Distribution.- Exercises.- 6 Generalized Confidence Intervals.- 6.1 Introduction.- 6.2 Generalized Definitions.- 6.3 Frequency Interpretations and Repeated Sampling Properties.- 6.4 Invariance in Interval Estimation.- 6.5 Interval Estimation of the Difference Between Two Exponential Means.- 6.6 Similarity in Interval Estimation.- 6.7 Generalized Confidence Intervals Based on p-Values.- 6.8 Resolving an Undesirable Feature of Confidence Intervals.- 6.9 Bayesian and Conditional Confidence Intervals.- Exercises.- 7 Comparing Two Normal Populations.- 7.1 Introduction.- 7.2 Comparing the Means when the Variances are Equal.- 7.3 Solving the Behrens-Fisher Problem.- 7.4 Inferences About the Ratio of Two Variances.- 7.5 Inferences About the Difference in Two Variances.- 7.6 Bayesian Inference.- 7.7 Inferences About the Reliability Parameter.- 7.8 The Case of Known Stress Distribution.- Exercises.- 8 Analysis of Variance.- 8.1 Introduction.- 8.2 One-way Layout.- 8.3 Testing the Equality of Means.- 8.4 ANOVA with Unequal Error Variances.- 8.5 Multiple Comparisons.- 8.6 Testing the Equality of Variances.- 8.7 Two-way ANOVA without Replications.- 8.8 ANOVA in a Balanced Two-way Layout with Replications.- 8.9 Two-way ANOVA under Heteroscedasticity.- Exercises.- 9 Mixed Models.- 9.1 Introduction.- 9.2 One-way Layout.- 9.3 Testing Variance Components.- 9.4 Confidence Intervals.- 9.5 Two-way Layout.- 9.6 Comparing Variance Components.- Exercises.- 10 Regression.- 10.1 Introduction.- 10.2 Simple Linear Regression Model.- 10.3. Inferences about Parameters of the Simple Regression Model.- 10.3 Multiple Linear Regression.- 10.4 Distributions of Estimators and Significance Tests.- 10.5 Comparing Two Regressions with Equal Variances.- 10.6 Comparing Regressions without Common Parameters.- 10.7 Comparison of Two General Models.- Exercises.- Appendix A.- Elements of Bayesian Inference.- A.1 Introduction.- A.2 The Prior Distribution.- A.3 The Posterior Distribution.- A.4 Bayes Estimators.- A.5 Bayesian Interval Estimation.- A.6 Bayesian Hypothesis Testing.- Appendix B Technical Arguments.- References.Outros livros adicionais, que poderiam ser muito similares com este livro:
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