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A Simulation Comparison of Several Procedures for Testing the Poisson Assumption

โœ Scribed by Dimitris Karlis; Evdokia Xekalaki

Book ID
108549141
Publisher
John Wiley and Sons
Year
2000
Weight
316 KB
Volume
49
Category
Article
ISSN
0039-0526

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โœฆ Synopsis

The importance of the Poisson distribution among the discrete distributions has led to the development of several hypothesis tests, for testing whether data come from a Poisson distribution against a variety of alternative distributions. An extended simulation comparison is presented concerning the power of such tests. To overcome biases caused by the use of asymptotic results for the null distribution of several tests, an extended simulation was performed for calculating the required critical points for all the tests. The results can be useful to researchers as a guide to selecting the appropriate test from several alternatives that are available.

๐Ÿ“œ SIMILAR VOLUMES

Robustness to Failure of Assumptions of
Robustness to Failure of Assumptions of Tests for a Common Slope Amongst Several Allometric Lines โ€“ A Simulation Study
โœ David I. Warton ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 163 KB

## Abstract In allometry, researchers are commonly interested in estimating the slope of the major axis or standardized major axis (methods of bivariate line fitting related to principal components analysis). This study considers the robustness of two tests for a common slope amongst several axes.