An important problem in statistical inference is to check the adequacy of models upon which inferences are based. Some valuable tools are available for examining a model's suitability of which the most widely used is the goodness-of-fit test. The pioneering work in this area is by Karl Pearson (1900). Since then, a considerable amount of work has been done so far and investigation is still going on in this field due to its importance in the hypothesis testing problem.This thesis contains an expository discussion of the goodness-of-fit tests, intended for the users of the statistical theory. An attempt is made here to give a complete coverage of the historical development, present status and other current problems related to this topic. Numerical examples are provided to best explain the test procedures. The contents, taken as a whole, constitute a unified presentation of some of the most important aspects of goodness-of-fit tests.Ball State UniversityMuncie, IN 57406
Identifer | oai:union.ndltd.org:BSU/oai:cardinalscholar.bsu.edu:handle/182921 |
Date | 03 June 2011 |
Creators | Paul, Ajay Kumar |
Contributors | Ali, Mir M. |
Source Sets | Ball State University |
Detected Language | English |
Format | v, 106 leaves ; 28 cm. |
Source | Virtual Press |
Page generated in 0.0017 seconds