Mathematical epidemiology of infectious diseases usually involves describing the flow of
individuals between mutually exclusive infection states. One of the key parameters …

Ensuring the long-term chemical durability of glasses is critical for nuclear waste
immobilization operations. Durable glasses usually undergo qualification for disposal based …

The partially linear model Y= XT β+ ν (Z)+ ϵ has been studied extensively when data are
completely observed. In this article, we consider the case where the covariate X is …

There is a large and growing body of literature on estimating equation (EE) as an estimation
approach. One basic property of EE that has been universally adopted in practice is that of …

Survival and event history analysis have developed into one of the major areas of
biostatistics, with important applications in other fields as well, including reliability theory …

Dealing with missing data via parametric multiple imputation methods usually implies stating
several strong assumptions both about the distribution of the data and about underlying …

In this paper, we consider the partial linear model with the covariables missing at random. A
model calibration approach and a weighting approach are developed to define the …

We consider nonparametric regression of a scalar outcome on a covariate when the
outcome is missing at random (MAR) given the covariate and other observed auxiliary …

In this paper, we investigate the model checking problem for a partial linear model while
some responses are missing at random. By imputation and marginal inverse probability …

The standard quantile regression model assumes a linear relationship at the quantile of
interest and that all variables are observed. These assumptions are relaxed by considering …