A saddlepoint approximation to the distribution of the sum of independent non-identically uniform random variables
type="main" xml:id="stan12032-abs-0001">Calculating the probability of the corresponding significance point is important for finite sample sizes. However, it is difficult to evaluate this probability when the sample sizes are moderate to large. Under these circumstances, consideration of a more accurate approximation for the distribution function is extremely important. Herein, we performed a saddlepoint approximation in the upper tails for the distribution of the sum of independent non-identically uniform random variables under finite sample sizes. Saddlepoint approximation results were compared with those for a normal approximation. Additionally, the order of errors of the saddlepoint approximation was derived. © 2014 The Authors. Statistica Neerlandica © 2014 VVS.
Year of publication: |
2014
|
---|---|
Authors: | Murakami, Hidetoshi |
Published in: |
Statistica Neerlandica. - Netherlands Society for Statistics and Operations Research, ISSN 0039-0402. - Vol. 68.2014, 4, p. 267-275
|
Publisher: |
Netherlands Society for Statistics and Operations Research |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Model based on skew normal distribution for square contingency tables with ordinal categories
Yamamoto, Kouji, (2014)
-
Biased and Unbiased Two-sided Wilcoxon Tests for Equal Sample Sizes
Sugiura, Nariaki, (2006)
-
Lepage type statistic based on the modified Baumgartner statistic
Murakami, Hidetoshi, (2007)
- More ...