Distribution Theory for Tests Based on the Sample Distribution Function
By addebook • Nov 15th, 2008 • Category: Mathematics
Distribution Theory for Tests Based on the Sample Distribution Function (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)
Distribution Theory for Tests Based on the Sample Distribution Function (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)
By J. Durbin
Publisher: Society for Industrial Mathematics
Number Of Pages: 70
Publication Date: 1987-01-01
ISBN-10 / ASIN: 0898710073
ISBN-13 / EAN: 9780898710076
Binding: 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.
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