On some general distributions in terms of generalized functions
On the micture of some sontinuous distributions
On some distributiions involving general functions
On the linear combinations of spacings and the restricted range in the exponential populations
Discrete generalized Liouville-type distribution and related multivariate distributions.
Discrete analogue of the Liouville distribution is defined and is termed as Discrete Generalized Liouville-Type Distribution (DGL-TD). Firstly, properties in its factorial and ordinary moments are given. Then by finding the covariance matrix, partial and multiple correlations for DGL-TD are evaluated. Multinomial, multivariate negative binomial and multivariate log series distributions are shown as particular cases of this general distribution. The asymptotic distribution of the estimates of the...
On the outstanding elements and record values in the exponential and gamma populations.
Outstanding elements and recorded values are discussed in this paper as related to exponential and gamma populations. First, the problem of prediction is considered when there are available, k sets of independent observations from a general-type exponential distribution. In such a case, prediction of the n-th record value in the k-th set is made in terms of n-th (i = 1, ..., k-1) record values from other (k-1) sets. For this purpose a predictive distribution is obtained. Secondly, the distribution...
Bayesian inference in life tests based on exponential model with outliers when sample size is a random variable.
This paper deals with the problem of prediction of the order statistics in a future sample. Underlying model is exponential. Outlier is present in the sample drawn and the sample size is considered a random variable. Firstly, an outlier of type θδ in the exponential model, is treated. Actual predictive distribution of the order statistics is obtained. As an extension, the two-sample problem is also taken up. Finally, an outlier of type θ + δ is dealt with and now the predictive distribution is expressed...
On a form of bi-variate-t distribution.
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