In this paper, the scheme of the inspection plan, namely the tightened normal tightened (<italic>n</italic>_T, <italic>n</italic>_N; <italic>k</italic>) is considered and procedures and necessary tables are developed for the selection of the variables sampling scheme, indexed through crossover point (COP). The importance of COP, the properties and...

A class of individual-level models (ILMs) outlined by R. Deardon <italic>et al.</italic>, [<italic>Inference for individual level models of infectious diseases in large populations</italic>, Statist. Sin. 20 (2010), pp. 239-261] can be used to model the spread of infectious diseases in discrete time. The key feature of these...

The two-sample problem and its extension to the <italic>k</italic>-sample problem are well known in the statistical literature. However, the discrete version of the <italic>k</italic>-sample problem is relatively less explored. Here in this work we suggest a <italic>k</italic>-sample non-parametric test procedure for discrete distributions based...

The problem of detecting multiple undocumented change-points in a historical temperature sequence with simple linear trend is formulated by a linear model. We apply adaptive least absolute shrinkage and selection operator (Lasso) to estimate the number and locations of change-points. Model...

This article aims to estimate parameters of spatial variability with Student's <italic>t</italic>-distribution by the EM algorithm and present the study of local influence by means of two methods known as likelihood displacement and <italic>Q</italic>-displacement of likelihood, both using Student's <italic>t</italic>-distribution with fixed...

<italic>Objectives</italic>: We sought to estimate the spatial coexistence of hypertension, coronary heart disease (CHD), stroke and hypercholesterolaemia in South Africa. <italic>Design</italic>: Cross-sectional. <italic>Setting</italic>: Sub-Saharan Africa and South Africa. <italic>Participants</italic>: Data were from 13,827 adults (mean±SD age 39±18 years,...

We study the behaviour of the Wald estimator of causal effects in regression discontinuity design when local linear regression (LLR) methods are combined with an asymmetric gamma kernel. We show that the resulting statistic is no more complex to implement than existing methods, remains...

The mixed random effect model is commonly used in longitudinal data analysis within either frequentist or Bayesian framework. Here we consider a case, in which we have prior knowledge on partial parameters, while no such information on the rest of the parameters. Thus, we use the hybrid approach...

Process capability indices (PCIs) provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by companies to compete with and to lead high-profit markets by evaluating the quality and productivity...

The group Lasso is a penalized regression method, used in regression problems where the covariates are partitioned into groups to promote sparsity at the group level [27]. Quantile group Lasso, a natural extension of quantile Lasso [25], is a good alternative when the data has group information...