Exact conditional inference for two uniform populations

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We discuss the nature of ancillary information in the context of the continuous uniform distribution. In the one-sample problem, the existence of sufficient statistics mitigates conditioning on the ancillary configuration. In the two-sample problem, additional ancillary information becomes available when the ratio of scale parameters is known. We give exact results for conditional inferences about the common scale parameter and for the difference in location parameters of two uniform distributions. The ancillary information affects the precision of the latter through a comparison of the sample value of the ratio of scale parameters with the known population value. A limited conditional simulation compares the Type I errors and power of these exact results with approximate results using the robust pooled t-statistic. © 2008 Elsevier B.V. All rights reserved.

Cite

CITATION STYLE

APA

Roberts, R. A. (2009). Exact conditional inference for two uniform populations. Journal of Statistical Planning and Inference, 139(3), 1109–1117. https://doi.org/10.1016/j.jspi.2008.07.002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free