Add to ORKGIn this article, the log beta log-logistic regression model based on the beta log-logistic distribution is which has a wider range of applications. The estimates of the parameters of the model for censored data are derived. Finally, the proposed model is applied to a real data set. Model checks based on martingale residuals and the AIC and BIC statistics are used to suggest appropriate models
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
peer-reviewedThe near non-identifiability of one of the parameters in the Generalized Time-Dependen...
We introduce a log-linear regression model based on the beta generalized half-normal distribution (P...
We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et...
We introduce a five-parameter continuous model, called the McDonald log-logistic distribution, to ex...
In this paper, we formulate and develop a log-linear model using a new distribution called the log-g...
The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders...
The beta distribution is a simple and flexible model in which responses are naturally confined to th...
Left-truncation and right-censoring (LTRC) arise naturally in lifetime data. Data may be left-trunca...
We propose and study a new log-gamma Weibull regression model. We obtain explicit expressions for th...
Log-gamma distribution is the extension of gamma distribution which is more flexible, versatile and ...
A new four-parameter lifetime model called OddLog-Logistic Burr XII distribution, is defined and inv...
Beta regression models are employed to model continuous response variables in the unit interval, lik...
In a sample of censored survival times, the presence of an immune proportion of individuals who are ...
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
peer-reviewedThe near non-identifiability of one of the parameters in the Generalized Time-Dependen...
We introduce a log-linear regression model based on the beta generalized half-normal distribution (P...
We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et...
We introduce a five-parameter continuous model, called the McDonald log-logistic distribution, to ex...
In this paper, we formulate and develop a log-linear model using a new distribution called the log-g...
The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders...
The beta distribution is a simple and flexible model in which responses are naturally confined to th...
Left-truncation and right-censoring (LTRC) arise naturally in lifetime data. Data may be left-trunca...
We propose and study a new log-gamma Weibull regression model. We obtain explicit expressions for th...
Log-gamma distribution is the extension of gamma distribution which is more flexible, versatile and ...
A new four-parameter lifetime model called OddLog-Logistic Burr XII distribution, is defined and inv...
Beta regression models are employed to model continuous response variables in the unit interval, lik...
In a sample of censored survival times, the presence of an immune proportion of individuals who are ...
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-lo...
peer-reviewedThe near non-identifiability of one of the parameters in the Generalized Time-Dependen...