Abstract Analysis of covariance (ANCOVA) models are used when apart from the main
treatments, some covariates also affect the response variable. In this article, the problem of …

In a 2-step monotone missing dataset drawn from a multivariate normal population, T 2-type
test statistic (similar to Hotelling's T 2 test statistic) and likelihood ratio (LR) are often used for …

In this paper, we consider an estimation problem in a generalized tensor regression model
with multi-mode covariates. We generalize the main results in recent literature in four ways …

A Fast Screen and Shape Recognition (FSSR) algorithm is proposed with complexity down
to O (n) for the multiple change‐point detection problems. The proposed FSSR algorithm …

In this paper, we consider an estimation problem of a tensor parameter of a random tensor
which follows elliptically contoured distribution. We establish the risk functions of a class of …

In this dissertation, we consider two estimation problems in some tensor regression models.
The first estimation problem is about the tensor coefficient in a tensor regression model with …

Detection of a special cause of variation and the identification of the time it occurs are two
important activities in any quality improvement strategy. Detection of changes in a process …

In this paper, we derive the bias and risk functions of a class of shrinkage estimators of
several mean parameter matrices of matrix-variate elliptically contoured distributions. More …

This article firstly defines hierarchical data missing pattern, which is a generalization of
monotone data missing pattern. Then multivariate Behrens–Fisher problem with hierarchical …

Paper 1: Nonparametric Estimator for the Time of a Step Change in the Trend of Random
Walk Models with Drift This is the first out of three concatenated research endeavors in …