Distribution Theory for Tests Based on Sample Distribution Function (Paperback)

Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	CBMS-NSF Regional Conference Series, No. 9
Release date:	1973
Authors:	J Durbin
Series editors:	Ron Rozier
Dimensions:	229 x 152 x 100mm (L x W x H)
Format:	Paperback - Trade
Pages:	70
ISBN-13:	978-0-89871-007-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-89871-007-3
Barcode:	9780898710076

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!