-PDF Download- Multivariate Analysis In Management Engineering And The Sciences EBOOK

Multivariate Analysis in Management, Engineering and the Sciences

Author: Leandro Valim de Freitas

Publisher:

Published: 2013

Total Pages: 266

ISBN-13: 9789535162865

Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. The wide application of multivariate techniques and the need to spread them more fully in the academic and the business justify the creation of this book. The objective is to demonstrate interdisciplinary applications to identify patterns, trends, association sand dependencies, in the areas of Management, Engineering and Sciences. The book is addressed to both practicing professionals and researchers in the field.

Multivariate Analysis in Management, Engineering and the Sciences

Author: Leandro Freitas

Publisher: BoD – Books on Demand

Published: 2013-01-09

Total Pages: 268

ISBN-13: 9535109219

DOWNLOAD EBOOK →

Multivariate Statistical Modeling in Engineering and Management

Author: Jhareswar Maiti

Publisher: CRC Press

Published: 2022-10-25

Total Pages: 421

ISBN-13: 1000618420

DOWNLOAD EBOOK →

The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution. Key features: Links data generation process with statistical distributions in multivariate domain Provides step by step procedure for estimating parameters of developed models Provides blueprint for data driven decision making Includes practical examples and case studies relevant for intended audiences The book will help everyone involved in data driven problem solving, modeling and decision making.

Multivariate Analysis: Engineering and Administrative Sciences

Author: Roland Chan

Publisher:

Published: 2015-01-27

Total Pages: 0

ISBN-13: 9781632403698

DOWNLOAD EBOOK →

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.

Multivariate Statistical Methods in Quality Management

Author: Kai Yang

Publisher: McGraw Hill Professional

Published: 2004-03-17

Total Pages: 318

ISBN-13: 0071501371

DOWNLOAD EBOOK →

Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Multivariate Analysis Techniques in Social Science Research

Author: Jacques Tacq

Publisher: SAGE

Published: 1997-02-12

Total Pages: 430

ISBN-13: 9780761952732

DOWNLOAD EBOOK →

Tacq demonstrates how a researcher comes to the appropriate choice of a technique for multivariate analysis. He examines a wide selection of topics from a range of disciplines including sociology, psychology, economics, and political science.

Multivariate Analysis of Quality

Author: Harald Martens

Publisher: John Wiley & Sons

Published: 2001-02-08

Total Pages: 476

ISBN-13: 9780471974284

DOWNLOAD EBOOK →

Die Datenanalyse mit mehreren Variablen gehört zum Alltag der Chemometrie. Die Autoren sind ausgezeichnete Spezialisten auf dem Gebiet der multivariaten Analyse. Sie geben hier in saloppem Stil und aufgelockert durch zahlreiche witzige Cartoons eine verständliche Einführung in dieses Thema. Erläutert werden eine Reihe von Anwendungen bei der Qualitätskontrolle, insbesondere in der Nahrungsmittelindustrie. Mit zahlreichen Kontrollfragen und Übungsaufgaben!

Modern Multivariate Statistical Techniques

Author: Alan J. Izenman

Publisher: Springer Science & Business Media

Published: 2009-03-02

Total Pages: 757

ISBN-13: 0387781897

DOWNLOAD EBOOK →

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Introduction to Multivariate Analysis

Author: Sadanori Konishi

Publisher: CRC Press

Published: 2014-06-06

Total Pages: 340

ISBN-13: 1466567287

DOWNLOAD EBOOK →

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification and discrimination, dimension reduction, and clustering. The text thoroughly explains the concepts and derivations of the AIC, BIC, and related criteria and includes a wide range of practical examples of model selection and evaluation criteria. To estimate and evaluate models with a large number of predictor variables, the author presents regularization methods, including the L1 norm regularization that gives simultaneous model estimation and variable selection. For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning. It also introduces linear and nonlinear statistical modeling for researchers and practitioners in industrial and systems engineering, information science, life science, and other areas.

Ranking of Multivariate Populations

Author: Livio Corain

Publisher: CRC Press

Published: 2017-09-20

Total Pages: 328

ISBN-13: 131536283X

DOWNLOAD EBOOK →

Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs. The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses a large number of real case studies from four specific research areas: new product development in industry, perceived quality of the indoor environment, customer satisfaction, and cytological and histological analysis by image processing. A web-based nonparametric combination global ranking software is also described. Designed for practitioners and postgraduate students in statistics and the applied sciences, this application-oriented book offers a practical guide to the reliable global ranking of multivariate items, such as products, processes, and services, in terms of the performance of all investigated products/prototypes.