Parametric and partially linear regressions for agricultural economy data

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

“…Now, suppose that the scale parameter of the EIEW distribution depends on the matrix of explanatory variables , as: Also, suppose that the regression model based on EIEW distribution given in (6) relates the response variable and the covariate vector . Hence, the conditional dependence of can be expressed as (8) where is the explanatory vector, , are unknown parameters and is a variable with the distribution function in (7).…”

“…The approach based on studying the effect of dropping the i th case from the data set. Let (10) be the case-deletion model for model (8), where . From now we will use the subscript to refer to the original quantity with the case deleted.…”

“…Again, consider the regression model (8) and consider an additive perturbation on a particular , namely , by making perturbed as ; ;…”

“…A location-scale regression model has been commonly used in clinical trials, and has been discussed by many researchers. 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.…”

Analyzing County-Level COVID-19 Vaccination Rates in Texas: A New Lindley Regression Model

“…For example, ref. [7] proposed a parametric and a partially linear regression model called genralized odd log-logistic Birnbaum-Saunders distribution, and ref. [8] defined the generalized odd log-logistic Maxwell mixture model to analyze COVID-19 Chinese data.…”