A Study of Five Parameter Type I Generalized Half Logistic Distribution

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...

Estimation and Testing in Type I Generalized Half Logistic Distribution

On Type Iii Generalized Half Logistic Distribution

It is well known that generalized models is attracting the attention of researchers in recent times because of their flexibilities. Particularly, the logistic model has been generalized and applied by many authors while the half logistic distribution has not recieve much attention in term of its generalization. In this paper, we considered a generalized form of half logistic model called type I...

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 ...

Estimation and Testing in Type-II Generalized Half Logistic Distribution

A generalization of the Half Logistic Distribution is developed through exponentiation of its survival function and named the Type II Generalized Half Logistic Distribution (GHLD). The distributional characteristics are presented and estimation of its parameters using maximum likelihood and modified maximum likelihood methods is studied with comparisons. Discrimination between Type II GHLD and ...