Innovations in Multivariate Statistical Modeling

Innovations in Multivariate Statistical Modeling
Author :
Publisher : Springer Nature
Total Pages : 434
Release :
ISBN-10 : 9783031139710
ISBN-13 : 3031139712
Rating : 4/5 (10 Downloads)

Book Synopsis Innovations in Multivariate Statistical Modeling by : Andriëtte Bekker

Download or read book Innovations in Multivariate Statistical Modeling written by Andriëtte Bekker and published by Springer Nature. This book was released on 2022-12-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics. It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty. Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.


Innovations in Multivariate Statistical Modeling Related Books

Innovations in Multivariate Statistical Modeling
Language: en
Pages: 434
Authors: Andriëtte Bekker
Categories: Mathematics
Type: BOOK - Published: 2022-12-15 - Publisher: Springer Nature

DOWNLOAD EBOOK

Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produce
Advances in Multivariate Statistical Methods
Language: en
Pages: 492
Authors: Ashis Sengupta
Categories: Mathematics
Type: BOOK - Published: 2009 - Publisher: World Scientific

DOWNLOAD EBOOK

Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
Innovations in Multivariate Statistical Analysis
Language: en
Pages: 302
Authors: Risto D.H. Heijmans
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kron
Methods for Statistical Data Analysis of Multivariate Observations
Language: en
Pages: 386
Authors: R. Gnanadesikan
Categories: Mathematics
Type: BOOK - Published: 2011-01-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodolog
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Language: en
Pages: 707
Authors: Osval Antonio Montesinos López
Categories: Technology & Engineering
Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statis