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CONDITIONAL INFERENCE PROCEDURES FOR THE PARETO AND POWER FUNCTION DISTRIBUTIONS BASED ON TYPE-II RIGHT CENSORED SAMPLES 

Authors: Aaron Childs; N. Balakrishnan
DOI: 10.1080/02331880212853
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 36, Issue 3 2002 , pages 247 - 257
Formats available: PDF (English)
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Abstract

In this paper we consider conditional inference procedures for the Pareto and power function distributions. We develop procedures for obtaining confidence intervals for the location and scale parameters as well as upper and lower n probability tolerance intervals for a proportion g, given a Type-II right censored sample from the corresponding distribution. The intervals are exact, and are obtained by conditioning on the observed values of the ancillary statistics. Since, for each distribution, the procedures assume that a shape parameter x is known, a sensitivity analysis is also carried out to see how the procedures are affected by changes in x.
Keywords: Ancillary Statistics; Tolerance Intervals; Confidence Intervals; Order Statistics; Pareto Distribution; Power Function Distribution; Type-II Right Censoring; Best Linear Unbiased Estimators; Conditional Inference
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