Multivariate Analysis : Engineering and Administrative Sciences

Roland Chan

ISBN 10: 1632403692 / ISBN 13: 9781632403698

Published by ML Books International - IPS, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the state-of-the-art information of multivariate analysis and its application in various fields. Currently, statistical knowledge has become an essential need and holds a significant position in the exercise of various professions. The procedures have a huge volume of data in the real world, and are naturally multifarious and as such, need an appropriate treatment. For these conditions it is problematic or practically not possible to utilize methodologies of univariate statistics. The broad spectrum of applications of multivariate strategies and the necessity to spread them more significantly in academics and business justify the creation of this book. The aim of this book is to illustrate interdisciplinary applications to recognize trends, patterns, relations and dependencies, in the fields of engineering, sciences and management and to serve as a valuable source of reference for both veteran researchers and engaged professionals in the field.

Seller Inventory # 9781632403698

Bibliographic Details

• Title: Multivariate Analysis : Engineering and Administrative Sciences
• Publisher: ML Books International - IPS
• Publication Date: 2015
• Language: English
• ISBN 10: 1632403692
• ISBN 13: 9781632403698
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 19D millimeters 235 millimeters width by 157 millimeters height by 19 millimeters depth
• Weight: 543 grams

About this title

Synopsis

This book presents the state-of-the-art information of multivariate analysis and its application in various fields. Currently, statistical knowledge has become an essential need and holds a significant position in the exercise of various professions. The procedures have a huge volume of data in the real world, and are naturally multifarious and as such, need an appropriate treatment. For these conditions it is problematic or practically not possible to utilize methodologies of univariate statistics. The broad spectrum of applications of multivariate strategies and the necessity to spread them more significantly in academics and business justify the creation of this book. The aim of this book is to illustrate interdisciplinary applications to recognize trends, patterns, relations and dependencies, in the fields of engineering, sciences and management and to serve as a valuable source of reference for both veteran researchers and engaged professionals in the field.