A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data

Estimation of Parameters for an Extended Generalized Half Logistic Distribution Based on Complete and Censored Data

This paper considers an Extended Generalized Half Logistic distribution. We derive some properties of this distribution and then we discuss estimation of the distribution parameters by the methods of moments, maximum likelihood and the new method of minimum spacing distance estimator based on complete data. Also, maximum likelihood equations for estimating the parameters based on Type-I and Typ...

The Type I Generalized Half Logistic Distribution

In this paper, we considered the half logistic model and derived a probability density function that generalized it. The cumulative distribution function, the $n^{th}$ moment, the median, the mode and the 100$k$-percentage points of the generalized distribution were established. Estimation of the parameters of the distribution through maximum likelihood method was accomplished with the aid of c...

Bayesian and Non-Bayesian Estimation of from Type I Generalized Logistic Distribution Based on Lower Record Values

This paper devoted a Bayesian and non-Bayesian estimation of the stress-strength reliability, , when X and Y two independent Type I generalized logistic distribution with common scale parameter. The maximum likelihood estimator and Bayes estimator are proposed for the stress strength reliability based on lower record values. The Bayesian and non-Bayesian confidence intervals for the reliability...

Estimation and Testing in Type I Generalized Half Logistic Distribution

On extended type I generalized logistic distribution

The importance of the logistic distribution has already been felt in many areas of human endeavour. Verhulst [12] used it in economic and demographic studies. Berkson [3, 4, 5] used the distribution extensively in analyzing bioassay and quantal response data. The works [6, 9, 10, 11, 8] are a few of many publications on logistic distribution. The simplicity of the logistic distribution and its ...