Smooth Tests of Goodness of Fit

Smooth Tests of Goodness of Fit PDF

Author: J. C. W. Rayner

Publisher: Oxford University Press, USA

Published: 1989

Total Pages: 177

ISBN-13: 0195056108

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Goodness of fit describes the validity of models involving statistical distributions of data, and smooth tests are a subset of these tests that can be used in any situation in which there are relatively large sample sizes.

Comparing Distributions

Comparing Distributions PDF

Author: Olivier Thas

Publisher: Springer Science & Business Media

Published: 2010-03-14

Total Pages: 358

ISBN-13: 0387927107

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Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for comparing distributions Emphesises informative statistical analysis rather than plain statistical hypothesis testing

Asymptotic Theory of Statistical Tests and Estimation

Asymptotic Theory of Statistical Tests and Estimation PDF

Author: Indra Mohan Chakravarti

Publisher:

Published: 1980

Total Pages: 378

ISBN-13:

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Some memorable incidentes in probabilistic/statistica studies; Large deviation, tests, and estimates; Applications of characteristic function in solving some distribution problems; A chernoff-savage theorem for correlation ranl statistics with applications to sequential testing; Wiener - levy models, spherically exchangeable time series, and simultaneous inference in growth curve analysis; A note to the chung - erdors - sirao theorem; Asymptotic separation of distribution and convergence properties of tests and estimators; Density estimation: are theoretical results useful in practice? Stability theorems for characterizations of the normal and of the degenerate distribution; Estimation of the support contour-line of a probability law: limit law; Some estimation problems for the compound poisson distribution; A decomposition of infinite order and extreme multivariate distributions; Correction terms for multinomial large deviations; On a theorem of hoeffding; Sequential minimum probability ratio tests.

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