A Bivariate Test of Goodness of Fit Based on a Gradually Increasing Number of Order Statistics PDF Download

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A Bivariate Test of Goodness of Fit Based on a Gradually Increasing Number of Order Statistics

A Bivariate Test of Goodness of Fit Based on a Gradually Increasing Number of Order Statistics PDF Author: José Kreimerman
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 186

Book Description
An important area of Statistical Inference relates to the problem of assessing the conformity or goodness of fit of some observations to a null hypothesis. This hypothesis may be that the observations came from a distribution which belongs to a given family or may be a completely specified distribution. A statistical procedure which solves such a problem is called a test of goodness of fit. This thesis is concerned with the problem of testing the goodness of fit of a sample drawn from a continuous bivariate distribution, where the null hypothesis is that the true distribution is a completely specified one. A test is developed, where the test criterion is based in some functions of a subset of order statistics, functions which depend on the distribution under the null hypothesis.
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