JOURNAL ARTICLE

Testing equality of conditionally jfclhwdqw exponential distributions

Tanan Kumar Nayak

Year: 1988 Journal:   Communication in Statistics- Theory and Methods Vol: 17 (3)Pages: 807-820   Publisher: Taylor & Francis

Abstract

For the models given V = v (a common random stress), X and Y are independently exponentially distributed with failure rates λ1and λ2v, testing H0λ1λ2using a random 'paired' sample is considered. It is shown that a uniformly most powerful invariant test does not exist even for one sided alternatives; locally most powerful invariant tests are derived and compared with existing procedures. The method is illustrated with reliability data. Finally, the robustness of the tests when the relationships of the failure rates to V is more complex are established.

Keywords:
Exponential distribution Invariant (physics) Robustness (evolution) Failure rate Exponential function Mathematics Applied mathematics Statistics Sample size determination Random variable Discrete mathematics Reliability (semiconductor) Computer science Pure mathematics Mathematical analysis Physics

Metrics

10
Cited By
0.88
FWCI (Field Weighted Citation Impact)
15
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Reliability and Maintenance Optimization
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

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