Independence characterizations and testing normality against restricted skewness-kurtosis alternatives

Journal of Statistical Planning and Inference

Volumn 104, Issue 2, 2002, Pages 485-501

  Mudholkar, Govind S ^a   Marchetti, Carol E ^b   Lin, C Thomas ^c  

^a UNIVERSITY OF ROCHESTER   (United States)

^b ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^c ABBOTT LABORATORIES   (United States)

Author keywords

Independence; Kurtosis; Normality; Skewness

Indexed keywords

EID: 0036605076     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(01)00253-1     Document Type: Article

References (32)

1. 2 for normal statistics
2. On the almost symmetry of Fisher's z
3. Über eine Eigenschaft der normalen Verteilungsfunktion
4. On the logarithms of high-order spacings
5. 1
6. On a class of problems related to the random division of an interval
7. Entropy-based tests of Uniformity
8. The frequency distribution of the product-moment correlation coefficient in random samples of any size drawn from non-normal universes
9. The ratio of the mean deviation to the standard deviation as a test of normality
10. Trial by numbers
11. A portable version of the W test of normality
12. Sulla determinazione empirica di una legge di distribuzione
13. A simple test for normality against asymmetric alternatives
14. The use of U-statistics for testing normality against nonsymmetric alternatives
15. The use of U-statistics for testing normality against alternatives with both tails heavy or both tails light
16. The logit statistic for combining probabilities-an overview
17. On two applications of characterization theorems to goodness of fit
18. A graphical procedure for comparing goodness-of-fit tests
19. Combination of one-sided statistical tests
20. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen in random sampling
21. An analysis of variance test for normality (complete samples)
22. Über stochastische Asymptoten und Grenzwerte
23. A test for normality based on the sample entropy