# Rameshwar D. Gupta

• Computational Statistics & Data Analysis
• 2008
Recently two-parameter generalized exponential distribution has been introduced by the authors. In this paper we consider the Bayes estimators of the unknown parameters under the assumptions of gamma priors on both the shape and scale parameters. The Bayes estimators can not be obtained in explicit forms. Approximate Bayes estimators are computed using the(More)
• J. Multivariate Analysis
• 2009
Recently it is observed that the generalized exponential distribution can be used quite effectively to analyze lifetime data in one dimension. The main aim of this paper is to define a bivariate generalized exponential distribution so that the marginals have generalized exponential distributions. It is observed that the joint probability density function,(More)
• Computational Statistics & Data Analysis
• 2003
Recently the two-parameter generalized exponential (GE) distribution was introduced by the authors. It is observed that a GE distribution can be considered for situations where a skewed distribution for a non-negative random variable is needed. The ratio of the maximized likelihoods (RML) is used in discriminating between Weibull and GE distributions.(More)
• IEEE Trans. Reliability
• 2006
This paper deals with the estimation of = [ ] when , and are two independent Weibull distributions with different scale parameters, but having the same shape parameter. The maximum likelihood estimator, and the approximate maximum likelihood estimator of are proposed. We obtain the asymptotic distribution of the maximum likelihood estimator of . Based on(More)
• 1
• A random vector (Xl' •.. , X n ), with positive components, is said to have a Liouville distribution if its joint probability density aC I an-l function is of the form f (xl + ... + x n ) xl •.. x n with the a i all positive. Examples of these are the Dirichlet and inverted Dirichlet distribution. In this paper, a comprehensive treatment of the Liouville(More)
Recently a new distribution, named as generalized exponential distribution or exponentiated exponential distribution was introduced and studied quite extensively by the authors. It is observed that the generalized exponential distribution can be used as an alternative to the gamma distribution in many situations. Different properties like monotonicity of(More)