We provide an overview of semiparametric models commonly used in survival analysis, including proportional hazards model, proportional odds models and linear transformation models. The applications of these models to different types of censored data, either univariate or multivariate survival analysis, are given. For each case, inference procedures using censored observations are discussed. & 2...

In this paper, the well-known proportional hazards model which includes several well-known lifetime distributions such as exponential, Pareto, Lomax, Burr type XII, and so on is considered. With both Bayesian and non-Bayesian approaches , we consider the estimation of parameters of interest based on progressively Type-II right censored samples. The Bayes estimates are obtained based on symmetri...

This study estimates the demand for meat in Indonesian urban households encompassing beef, goat, broiler chicken, and native chicken. We estimate using cross-sectional data from 2013 Socio-Economic Household Survey data, which records food expenditure a week before survey. Because of some zero expenditure, Censored Almost Ideal Demand System (AIDS) consistent two-step estimation is applied. The...

This paper develops a semiparametric method for estimation of the censored regression model when some of the regressors are endogenous (and continuously distributed) and instrumental variables are available for them. A “distributional exclusion” restriction is imposed on the unobservable errors, whose conditional distribution is assumed to depend on the regressors and instruments only through a...

This paper deals with a linear errors-in-variables model where the dependent variable is censored. A two-step procedure is proposed to derive the moment estimator of the model and the corresponding asymptotic covariance matrix. The results cover the moment estimation of the usual (error-free) Tobit model as a special case. It is shown that, under normality and a certain identifying condition, t...