Titlebook: Innovations in Multivariate Statistical Modeling; Navigating Theoretic Andri?tte Bekker,Johannes T. Ferreira,Ding-Geng Ch Book 2022 The Edi

吹氣

Tanita Botha,Johannes T. Ferreira,Andriette Bekker

Water-Brash

昏迷狀態(tài)

foreign

Inesh Munaweera,Saman Muthukumarana,Mohammad Jafari Jozani

photophobia

Association-Based Optimal Subpopulation Selection for?Multivariate Dataample is in driving safety analytics, where we may wish to identify a subset of drivers with a strong association among their driving behavior characteristics. Other interesting domains include finance, health care, marketing, etc. Existing approaches, such as the Top-k method or the tau-path approa

香料

indigenous

Robust Estimation of?Multiple Change Points in?Multivariate Processes on some restrictive assumptions such as the normality of underlying processes or independence of observations. In this paper, a novel likelihood-based technique is proposed for identifying multiple change points in multivariate processes. It provides a way to model various covariance patterns and i

滲透

干涉

START

On the?Identification of?Extreme Elements in?a?Residual for?the?GMANOVA-MANOVA Modelin the GMANOVA-MANOVA model”). The residual that is studied in this article is constructed via the difference of the observed group means and the estimated mean structure. The residual provides information about the appropriateness of the model assumptions concerning the mean structure. The aim of t