Smooth Tests of Goodness of Fit

Smooth Tests of Goodness of Fit
Author: J. C. W. Rayner
Publisher: Oxford University Press
Total Pages: 177
Release: 1989-10-12
Genre: Mathematics
ISBN: 0195363604

Goodness of fit describes the validity of models involving statistical distributions of data, and smooth tests are a subset of these tests that are easy to apply and can be used in any situation in which there are relatively large sample sizes. Both concepts have become increasingly important with the advent of high-speed computers and the implementation of more complex models in the areas of probability and statistics. Written to be accessible to undergraduates with a knowledge of statistics and calculus, this is an introductory reference work that should appeal to all professionals involved in statistical modeling.

Comparing Distributions

Comparing Distributions
Author: Olivier Thas
Publisher: Springer Science & Business Media
Total Pages: 358
Release: 2010-03-14
Genre: Mathematics
ISBN: 0387927107

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

Goodness-of-fit

Goodness-of-fit
Author: Wayne W. Daniel
Publisher:
Total Pages: 32
Release: 1980
Genre: Goodness-of-fit tests
ISBN:

Asymptotic Theory of Statistical Tests and Estimation

Asymptotic Theory of Statistical Tests and Estimation
Author: Indra Mohan Chakravarti
Publisher:
Total Pages: 378
Release: 1980
Genre: Mathematics
ISBN:

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.

Notices of the American Mathematical Society

Notices of the American Mathematical Society
Author: American Mathematical Society
Publisher:
Total Pages: 572
Release: 1976
Genre: Electronic journals
ISBN:

Contains articles of significant interest to mathematicians, including reports on current mathematical research.