The Logit Exponentiated Power Exponential Regression with Applications

Influence Diagnostic in Log-Exponential-Inverse- Exponential {Weibull} Regression Failure Model

“…The multiple myeloma patient's data displayed in [27] Therefore, the final model fitted is: (13) where follows the LEIEW given in (4). Table 5 represents the ML estimates of the parameters in the final model (13).…”

“…The multiple myeloma patient's data displayed in [27] Therefore, the final model fitted is: (13) where follows the LEIEW given in (4). Table 5 represents the ML estimates of the parameters in the final model (13). It can be concluded that the log survival time for myeloma patients depend on Hemoglobin, that when the Hemoglobin increases for myeloma patients, the log survival time increases.…”

“…These include log-Burr XII regression models by [1], a log-extended Weibull regression model by [2], the log-Burr XII regression model for grouped survival data by [3], the log-generalized modified Weibull regression model by [4], the Marshall-Olkin truncated Poisson Weibull regression model by [5], an extended Weibull regression model by [6], the log-beta Weibull regression model by [7,8] proposed two new regressions, one is parametric and the other is partially linear based on an extended Birnbaum-Saunders distribution, and [9] defined a class of survival models for modeling time-to-event with long-term and obtained some of its structural properties. Also, [10] introduced and study the log-odd log-logistic Weibull (LOLLW) distribution and constructed the LOLLW regression model to investigate the informative censoring mechanism in a type of location-scale regression model, [11] introduced the generalized odd log-logistic flexible Weibull regression model, [12] proposed the heteroscedastic log-odd log-logistic generalized gamma (LOLLGG) regression model for censored data, [13] introduced the logit exponentiated power exponential regression model, [14] proposed the generalized odd log-logistic Maxwell semiparametric regression model which is very flexible for modeling response variable with positive support, [15] introduced a new regression based on the odd log-logistic Marshall-Olkin normal distribution, and [16] proposed two different zero-inflated-rightcensored regression models, assuming Weibull and gamma distributions.…”