Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/9162
Title: | Testing an assumed distribution |
Authors: | Wong, Tze-yue |
Advisor: | Tiku, M.L. |
Department: | Statistics |
Keywords: | Applied Statistics;Applied Statistics |
Publication Date: | Apr-1974 |
Abstract: | <p>Testing for an assumed distribution has been a major area of statistical research, both in theory and in practice. A reason for this interest is that many statistical procedures are based on certain distributional assumptions. Two new statistics, BN and BL, are suggested in this thesis for testing for normal and logistic distributions. The formulation of these statistics is based on the best linear unbiased estimator of the population scale parameter δ, using order statistics. The distributions of BN and BL tend to normal very rapidly, effectively for sample size n ≥ 20. In general, BN and BL have good power properties. They are particularly sensitive in testing against skew distributions or symmetric distributions with large kurtosis. The power of BN is comparable with other available test-statistics.</p> |
URI: | http://hdl.handle.net/11375/9162 |
Identifier: | opendissertations/431 1183 880850 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
---|---|---|---|
fulltext.pdf | 963.28 kB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.