Open AccessDOI
Using Maximum Likelihood Ratio Test to Discriminate Between the Inverse Gaussian and Gamma Distributions
Zakariya Y. Algamal
- Vol. 1, Iss: 1, pp 27
Reads0
Chats0
TLDR
The authors used the logarithm of maximum likelihood ratio (MLR) as a test for discriminating between inverse Gaussian and gamma distributions for failure time distributions with positively skewed data.Abstract:
One of the problems that appear in reliability and survival analysis is how we choose the best distribution that fitted the data. Sometimes we see that the handle data have two fitted distributions. Both inverse Gaussian and gamma distributions have been used among many well-known failure time distributions with positively skewed data. The problem of selecting between them is considered. We used the logarithm of maximum likelihood ratio as a test for discriminating between these two distributions. The test has been carried out on six different data sets.read more
Citations
More filters
Journal ArticleDOI
Shrinkage estimators for gamma regression model
TL;DR: In this paper, a gamma ridge regression model (GRRM) has been proposed to reduce the effects of multicollinearity on the variance of maximum likelihood estimator of the gamma regression coefficients.
Journal Article
Classification of gene expression autism data based on adaptive penalized logistic regression
TL;DR: Experimental results show that the proposed adaptive penalized logistic regression significantly outperforms two competitor methods in terms of classification accuracy, G-mean, and area under the curve, and can be useful for other cancer classification using DNA gene expression data in the real clinical practice.
Journal ArticleDOI
Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring
TL;DR: In this article, the ratio of maximized likelihood and Minimized Kullback-Leibler Divergence methods are discussed for discrimination between log-normal and Weibull distributions.
Journal ArticleDOI
Bayes Estimation of Topp-Leone Distribution Under Symmetric Entropy Loss Function Based on Lower Record Values
TL;DR: In this paper, the estimation of parameter of Topp-Leone distribution based on lower record values is studied, where the minimum variance unbiased estimator and maximum likelihood estimator are derived under symmetric loss function and further the empirical Bayes estimators are also obtained based on marginal probability density of record sample and the maximum likelihood method.
Journal ArticleDOI
Prediction of blood lead level in maternal and fetal us-ing generalized linear model
TL;DR: The aim of this study is to encourage and initiate the application of GLMs to predict the maternal and fetal blood-lead level, and the inverse Gaussian distribution with inverse quadratic link function is considered.
References
More filters
Book
Continuous univariate distributions
TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
Book
Statistical Models and Methods for Lifetime Data
TL;DR: Inference procedures for Log-Location-Scale Distributions as discussed by the authors have been used for estimating likelihood and estimating function methods. But they have not yet been applied to the estimation of likelihood.
Journal ArticleDOI
Statistical Models and Methods for Lifetime Data
TL;DR: This book describes and illustrates how to compute a simple “naive” variance estimate and con dence intervals that would be correct under the assumption of an underlying nonhomogeneous Poisson process model.
Journal ArticleDOI
The inverse gaussian distribution: theory, methodology, and applications
Raj S. Chhikara,J. Leroy Folks +1 more
TL;DR: Inverse Gaussian distributions have been used for life testing and reliability as mentioned in this paper, and they have been applied in a variety of applications, such as life testing, reliability, and life assurance.
Related Papers (5)
Discriminating between the generalized Rayleigh and Log-normal distribution
Debasis Kundu,Mohammad Z. Raqab +1 more