Powers of discrete goodness-of-fit test statistics for a uniform null against a selection of alternative distributions
Steele, Michael, and Chaseling, Janet (2006) Powers of discrete goodness-of-fit test statistics for a uniform null against a selection of alternative distributions. Communications in Statistics: simulation and computation, 35 (4). pp. 1067-1075.
|PDF (Published Version) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
View at Publisher Website: http://dx.doi.org/10.1080/03610910600880...
The comparative powers of six discrete goodness-of-fit test statistics for a uniform null distribution against a variety of fully specified alternative distributions are discussed. The results suggest that the test statistics based on the empirical distribution function for ordinal data (Kolmogorov-Smirnov, Cramér-von Mises and Anderson-Darling) are generally more powerful for trend alternative distributions. The test statistics for nominal (Pearson’s Chi-Square and the Nominal Kolmogorov-Smirnov) and circular data (Watson’s test statistic) are shown to be generally more powerful for the investigated triangular (), flat (or platykurtic type), sharp (or leptokurtic type) and bimodal alternative distributions.
|Item Type:||Article (Refereed Research - C1)|
© Taylor & Francis 2006. This journal is available online (use hypertext link above)
|Keywords:||Goodness-of-fit, Power, Null distribution, Alternative distribution, Empirical distribution function|
|FoR Codes:||01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 50%|
01 MATHEMATICAL SCIENCES > 0104 Statistics > 010405 Statistical Theory @ 50%
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%|
|Deposited On:||06 Nov 2006|
|Last Modified:||18 Oct 2013 00:19|
Last 12 Months: 0
|Citation Counts with External Providers:|
Repository Staff Only: item control page