Journal ArticleDOI
Two Sample Tests in the Weibull Distribution
Darrel R. Thoman,Lee J. Bain +1 more
TLDR
In this paper, a test based on maximum likelihood estimators is given for testing the equality of the shape parameters in two Weibull distributions with the scale parameters unknown, along with a procedure for selecting the process with the larger mean life.Abstract:
A test based on maximum likelihood estimators is given for testing the equality of the shape parameters in two Weibull distributions with the scale parameters unknown. Tests for the equality of the scale parameters are also presented along with a procedure for selecting the Weibull process with the larger mean life.read more
Citations
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Proceedings ArticleDOI
A simple method for comparing designs : are two data sets significantly different ?
Wes Fulton,Robert B. Abernethy +1 more
Behrens-Fisher Analogs for Discrete and Survival Data
TL;DR: In this article, the authors compared the performance of negative binomial, beta-binomial, and Weibull distribution for survival data analysis and found that LR, Cml, Ckmm, Cqb, Cqs, Ceq, Crs and cars are the best test procedures.
Journal ArticleDOI
Objective Bayesian inference for the ratio of the scale parameters of two Weibull distributions
TL;DR: In this paper, the non informative priors for the ratio of the scale parameters of two Weibull models are provided and the asymptotic matching of coverage probabilities of Bayesian credible intervals is considered, with the corresponding frequentist coverage probabilities.
Journal ArticleDOI
Comparison of Diabetic Nephropathy Onset Time of Two Groups with Left Truncated and Right Censored Data
Alka Sabharwal,Gurprit Grover +1 more
TL;DR: The nonparametric approach, suggested by Kaplan and Meier, is used to compare the survival function of two groups over different time periods and the expected DN onset time of new DM patients can be predicted depending on the patient group.
Journal ArticleDOI
On some optimal selection procedures for weibull populations
TL;DR: In this paper, a method of constructing optimal selection procedures to select a subset of the k populations containing the best population which control the size of the selected subset and which maximises the minimum probability of making a correct selection is presented.
References
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Journal ArticleDOI
Inferences on the Parameters of the Weibull Distribution
TL;DR: The problems of estimation and testing hypotheses regarding the parameters in the Weibull distribution are considered in this paper, where exact confidence intervals for the parameters based upon maximum likelihood estimators are presented.
Journal ArticleDOI
The Discximination Between Two Weibull Processes
TL;DR: In this article, the problem of selecting the particular process with the larger mean life is considered, and three techniques are considered and three procedures are constructed to show their advantages, and an alternative sequential procedure has also been proposed and shown to be valuable in some situations.
Journal ArticleDOI
Sampling Inspection Plans for Discriminating Between Two Weibull Processes
TL;DR: Four procedures for choosing the better of two processes, the units from which have life times distributed according to the Weibull distribution were formulated in an earlier paper and some sampling plans based on them are discussed here.