Phylogenetic signal is the tendency for closely related species to display similar trait values due to their common ancestry. Several methods have been developed for quantifying phylogenetic signal in univariate traits and for sets of traits treated simultaneously, and the statistical properties of these approaches have been extensively studied. However, methods for assessing phylogenetic signa...

New updated! The latest book from a very famous author finally comes out. Book of multivariate statistical methods in quality management, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve ...

* Associate Professor Department of Community, Occupational and Family Medicine National University of Singapore Address for Reprints: Dr Chia Kee Seng, Department of Community, Occupational and Family Medicine, National University of Singapore, Lower Kent Ridge Road, Singapore 119260. Introduction In modern medical research, it is rare to limit data analysis to merely two variables: a single e...

This paper focuses on the application and comparison of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) using two generic artificially created datasets. PCA and ICA are assessed in terms of their abilities to infer reference spectra and to estimate relative concentrations of the constituent compounds present in the analysed samples. The results show that ICA outperfo...

Will your favorite National Basketball Association (NBA) team make it to the playoffs this year? What variables affect a team’s postseason outcome? In an attempt to determine which teams will make the NBA playoffs, we will collect and analyze team data using multivariate statistical methods including Principal Components Analysis and Discriminant Analysis. Introduction It is midway through the ...

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing multivaria...

Article history: Received 30 November 2013 Received in revised form 22 January 2014 Accepted 23 January 2014 Available online 31 January 2014

abstract profile monitoring in statistical quality control has attracted attention of many researchers recently. a profile is a function between response variables and one or more independent variables. there have been only a limited number of researches on monitoring multivariate profiles. indeed, monitoring correlated multivariate profiles is a new subject in the fileld of statistical process...

a multivariate statistical analysis was performed on morphological characters of sixty-one populations of avena eriantha dur. a. clauda dur., a. barbata pott ex link., a. wiestii steud., a. fatua l., a. sterilis ssp. ludoviciana l. and a. sativa l. factor analysis revealed that intraspecific morphological variations are due to quantitative characters. interspecific as well as intersectional rel...

Root cause analysis is an important method for fault diagnosis when used with multivariate statistical process monitoring (MSPM). Conventional contribution analysis in MSPM can only isolate the effects of the fault by pinpointing inconsistent variables, but not the underlying cause. By integrating reconstruction-based multivariate contribution analysis (RBMCA) with fuzzy-signed directed graph (...