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Significance Test for the Half Logistic Distribution
-
B. Srinivasa Rao
and
R. R. L. Kantam
Published/Copyright:
June 18, 2011
Abstract
Moments of order statistics and an ordered sample are used to define a test statistic for the null hypothesis that the considered random variable has half logistic distribution. The percentiles of the test statistic are evaluated and the power of the test is computed. The developed statistic is used to construct confidence intervals for the scale parameter of the population. The results are illustrated by an example.
Received: 2010-07-23
Published Online: 2011-06-18
Published in Print: 2011-September
© de Gruyter 2011
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Articles in the same Issue
- Editorial
- Control Charts Based on the g-and-h Distribution
- Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions
- Use of Auxiliary Information in Estimating the Finite Population Mean in Survey Sampling
- One-Sided Cumulative Sum (CUSUM) Control Charts for the Zero-Truncated Binomial Distribution
- Significance Test for the Half Logistic Distribution
- The Quality Loss Index QLI and Its Properties
- Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling
Articles in the same Issue
- Editorial
- Control Charts Based on the g-and-h Distribution
- Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions
- Use of Auxiliary Information in Estimating the Finite Population Mean in Survey Sampling
- One-Sided Cumulative Sum (CUSUM) Control Charts for the Zero-Truncated Binomial Distribution
- Significance Test for the Half Logistic Distribution
- The Quality Loss Index QLI and Its Properties
- Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling
