Joint generalized linear models and double generalized linear models (DGLMs) were designed to model outcomes for which the variability can be explained using factors and/or covariates. When such factors operate, the usual normal regression models, which inherently exhibit constant variance, will...

Establishing that there is no compelling evidence that some population is not normally distributed is fundamental to many statistical inferences, and numerous approaches to testing the null hypothesis of normality have been proposed. Fundamentally, the power of a test depends on which specific...

Double censoring arises when <italic>T</italic> represents an outcome variable that can only be accurately measured within a certain range, [<italic>L, U</italic>], where <italic>L</italic> and <italic>U</italic> are the left- and right-censoring variables, respectively. In this note, using Martingale arguments of Chen <italic>et al.</italic> [3], we propose an estimator...

We motivate the success of AdaBoost (ADA) in classification problems by appealing to an importance sampling perspective. Based on this insight, we propose the Weighted Bagging (WB) algorithm, a regularization method that naturally extends ADA to solve both classification and regression problems....

In the majority of studies on patient re-admissions, a re-admission is deemed to have occurred if a patient is admitted within a time window of the previous discharge date. However, these time windows have rarely been objectively justified. We capture the re-admission process from the community...

The exponentially weighted moving average (EWMA) control charts with variable sampling intervals (VSIs) have been shown to be substantially quicker than the fixed sampling intervals (FSI) EWMA control charts in detecting process mean shifts. The usual assumption for designing a control chart is...

The process capability index <italic>C</italic> _{<italic>pk</italic>} is widely used when measuring the capability of a manufacturing process. A process is defined to be capable if the capability index exceeds a stated threshold value, e.g. <italic>C</italic> _{<italic>pk</italic>}4/3. This inequality can be expressed graphically using a process capability plot,...

Motivated by involvement in an intervention study, the paper proposes a robust, heteroscedastic generalization of what is popularly known as Cohen's d. The approach has the additional advantage of being readily extended to situations where the goal is to compare more than two groups. The method...

Gene copy number (GCN) changes are common characteristics of many genetic diseases. Comparative genomic hybridization (CGH) is a new technology widely used today to screen the GCN changes in mutant cells with high resolution genome-wide. Statistical methods for analyzing such CGH data have been...

Longitudinal studies suffer from patient dropout. The dropout process may be informative if there exists an association between dropout patterns and the rate of change in the response over time. Multiple patterns are plausible in that different causes of dropout might contribute to different...