Skewed multivariate models related to hidden truncation and/or selective reporting

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Volumn 11, Issue 1, 2002, Pages 7-54

  Arnold, Barry C ^a   Beaver, Robert J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Skew multivariate distributions; Skew Cauchy; Skew Laplace; Skew normal

Indexed keywords

EID: 0036619050     PISSN: 11330686     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02595728     Document Type: Review

References (29)

1. Hidden truncation models
2. The skew-cauchy distribution
3. Some skewed multivariate distributions
4. The nontruncated marginal of a truncated bivariate normal distribution
5. Conditionally specified multivariate skewed distributions
6. A class of distributions which includes the normal ones
7. Further results on a class of distributions which includes the normal ones
8. Statistical applications of the multivariate skew normal distribution
9. The multivariate skew-normal distribution
10. Effect of linear truncation on a multinormal population
11. A general class of multivariate skew-elliptical distributions
12. The moment-generating function of the minimum of bivariate normal random variables
13. Graphical models for skew normal variates
14. Some results on the scalar skew-normal distribution
15. Moments of skew-normal random vectors and their quadratic forms
16. Goodness-of-fit tests for the skew-normal distribution
17. Reliability studies of the skew-normal distribution and its application to a strength-stress model
18. A probabilistic representation of the 'skew-normal' distribution
19. Quadratic forms of skew-normal random vectors
20. Statistical implications of selectively reported inferential results
21. Efficiency of linear bayes rules for a normal mean: Skewed prior class
22. The sum of values from a normal and a truncated normal distribution
23. Bayes estimation subject to uncertainty about parameter constraints
24. Problems of inference for Azzalini's skew-normal distribution
25. A correlation model useful in the study of twins
26. The sum of values from a normal and a truncated normal distribution