Robust two sided tolerance limits based on mml estimators
- 1 January 1985
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 14 (1) , 175-184
- https://doi.org/10.1080/03610928508828902
Abstract
Robust estimators and are used in the two-sided tolerance limits., These estimators are the ones proposed by Tiku (1967); they are referred to in the literature as the modified maximum likelihood (MML) estimators., The constants k* needed to set. up 90% tolerance limits with p1 = p2 are tabled, The actual γ attained under a variety of nonnormal situations, using the MML estimators, has also been tabled. The efficacy of using the MML estimators in such instances is established..Keywords
This publication has 9 references indexed in Scilit:
- Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of VariancesBiometrical Journal, 1982
- Robustness of MML estimators based on censored samples and robust test statisticsJournal of Statistical Planning and Inference, 1980
- One-Sided Tolerance Limits for a Logistic Distribution Based on Censored SamplesPublished by JSTOR ,1975
- Effect of Non-Normality on Tolerance Limits Which Control Percentages in Both Tails of Normal DistributionTechnometrics, 1972
- Summary of Recent Work on Variables Acceptance Sampling with Emphasis on Non-normalityTechnometrics, 1969
- Estimating the mean and standard deviation from a censored normal sampleBiometrika, 1967
- Control of Percentages in Both Tails of the Normal DistributionTechnometrics, 1964
- Computation of Factors for Tolerance Limits on a Normal Distribution when the Sample is LargeThe Annals of Mathematical Statistics, 1946
- Tolerance Limits for a Normal DistributionThe Annals of Mathematical Statistics, 1946