Generalized partially linear varying-coefficient models (GPLVCM) are frequently used in statistical modeling. However, the statistical inference of the GPLVCM, such as confidence region/interval construction, has not been very well developed. In this article, empirical likelihood-based inference...

Two diagnostic plots for selecting explanatory variables are introduced to assess the accuracy of a generalized beta-linear model. The added variable plot is developed to examine the need for adding a new explanatory variable to the model. The constructed variable plot is developed to identify...

In this work, we study <italic>D</italic> _{<italic>s</italic>}-optimal design for Kozak's tree taper model. The approximate <italic>D</italic> _{<italic>s</italic>}-optimal designs are found invariant to tree size and hence create a ground to construct a general replication-free <italic>D</italic> _{<italic>s</italic>}-optimal design. Even though the designs are found not to be dependent on the...

Analysing individual-, school- and class-level observations is a good and efficient approach in epidemiologic research. Using data on violent behaviour among secondary school students we compared results from the conventional logistic modelling with multilevel logistic modelling approach using...

This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample...

<italic>Neosporosis</italic> is a bovine disease caused by the parasite <italic>Neospora caninum</italic>. It is not yet sufficiently studied, and it is supposed to cause an important number of abortions. Its clinical symptoms do not yet allow the reliable identification of infected animals. Its study and treatment would improve...

A new parametric (three-parameter) survival distribution, the <italic>lognormal--power function</italic> distribution, with flexible behaviour is introduced. Its hazard rate function can be either unimodal, monotonically decreasing or can exhibit a bathtub shape. Special cases include the lognormal distribution...

Historically, the cure rate model has been used for modeling time-to-event data within which a significant proportion of patients are assumed to be cured of illnesses, including breast cancer, non-Hodgkin lymphoma, leukemia, prostate cancer, melanoma, and head and neck cancer. Perhaps the most...

Combining data of several tests or markers for the classification of patients according to their health status for assigning better treatments is a major issue in the study of diseases such as cancer. In order to tackle this problem, several approaches have been proposed in the literature. In...

The use of GARCH type models and computational-intelligence-based techniques for forecasting financial time series has been proved extremely successful in recent times. In this article, we apply the finite mixture of ARMA-GARCH model instead of AR or ARMA models to compare with the standard BP...