Hypothesis testing for arbitrary bounds

Hypothesis Testing for Arbitrary Bounds

HYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION

Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.

LINEAR HYPOTHESIS TESTING USING DLR METRIC

Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables X, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using DLR metric, a method for testing ...

hypothesis testing for an exchangeable normal distribution

consider an exchangeable normal vector with parameters ????2, and ?. on the basis of a vector observation some tests about these parameters are found and their properties are discussed. a simulation study for these tests and a few nonparametric tests are presented. some advantages and disadvantages of these tests are discussed and a few applications are given.

Statistical Hypothesis Testing and Lower Bounds to the Error Probability

Two alternative exact characterizations of the minimum error probability of Bayesian M -ary hypothesis testing are derived. The first expression corresponds to the error probability of an induced binary hypothesis test and implies the tightness of the meta-converse bound by Polyanskiy, Poor and Verdú; the second expression is function of an information-spectrum measure and implies the tightness...