Multivariate Analysis in Community Ecology

Multivariate Analysis in Community Ecology
Author: Hugh G. Gauch
Publisher: Cambridge University Press
Total Pages: 320
Release: 1982-02-26
Genre: Mathematics
ISBN: 9780521282406

A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.

Multivariate Methods for Market and Survey Research

Multivariate Methods for Market and Survey Research
Author: Jagdish N. Sheth
Publisher: Marketing Classics Press
Total Pages: 11
Release: 2011-06-30
Genre: Business & Economics
ISBN: 1613111274

Multivariate Methods for Market and Survey Research is a graduate level book about different applications of methods in marketing research. It is a collection of papers from top names in the field of marketing and survey research. This collection discusses subjects from conjoint measurements and latent structure analysis to AID analysis, as well as further research areas related to these techniques.Dr. Jagdish (Jag) N. Sheth is the Charles H. Kellstadt Professor of Marketing in the Goizueta Business School at Emory University. Prior positions, include the University of Southern California; the University of Illinois; the faculty of Columbia University; and, the Massachusetts Institute of Technology. Dr. Sheth is well known for his scholarly contributions in consumer behavior, relationship marketing, competitive strategy and geopolitical analysis.

Multivariate Data Analysis

Multivariate Data Analysis
Author: Joseph Hair
Publisher: Pearson Higher Ed
Total Pages: 816
Release: 2016-08-18
Genre: Business & Economics
ISBN: 0133792684

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Marketing Research and Modeling: Progress and Prospects

Marketing Research and Modeling: Progress and Prospects
Author: Yoram Wind
Publisher: Springer Science & Business Media
Total Pages: 343
Release: 2013-06-05
Genre: Business & Economics
ISBN: 0387286926

Marketing Research and Modeling addresses state of the art developments including new techniques and methodologies by leading experts in marketing and marketing research. This work emphasizes new developments in Bayesian Decision Analysis, Multivariate Analysis, Multidimensional Scaling, Conjoint Analysis, Applications of Conjoint and MDS technique, Data Mining, Cluster Analysis, and Neural Networks.

Advances on Mathematical Modeling and Optimization with Its Applications

Advances on Mathematical Modeling and Optimization with Its Applications
Author: Gunjan Mukherjee
Publisher: CRC Press
Total Pages: 279
Release: 2024-03-28
Genre: Mathematics
ISBN: 1040001343

Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications. Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.

Wharton on Dynamic Competitive Strategy

Wharton on Dynamic Competitive Strategy
Author: George S. Day
Publisher: John Wiley & Sons
Total Pages: 484
Release: 2004-08-13
Genre: Business & Economics
ISBN: 9780471689577

Die Wharton Business School ist die älteste Institution ihrer Art in Amerika und eine der bestangesehenen der Welt. Ein Expertenteam aus fünf verschiedenen Fachgebieten in Wharton diskutiert hier eine der wichtigsten Fragen für ein Unternehmen der Gegenwart - die Sicherung der Wettbewerbsfähigkeit. Neueste Konzepte kreativer Strategien werden vorgestellt.

History Of Marketing Science, The (Second Edition)

History Of Marketing Science, The (Second Edition)
Author: Russell S Winer
Publisher: World Scientific
Total Pages: 848
Release: 2023-06-16
Genre: Business & Economics
ISBN: 9811272247

The field of marketing science has evolved significantly in the last 70 years. Throughout its rich history, developments in this field have always been anchored on marketing phenomena that drew on economics, statistics, operations research, and related disciplines. This book reviews the accomplishments of notable marketing scientists in several research areas. It emphasizes both the role and the importance that pioneers in marketing science have had in the rapid development of this field and honors those contributions.This second edition of the book offers updates of the former chapters and six new chapters on emerging areas of marketing science including machine learning, field experimentation methods, and internet marketing. Combined with older areas of research like endogeneity, services, and market segmentation, this book provides a road map for the development of 22 areas of marketing science, which not only is useful from a historical perspective but also identifies important gaps in the literature which can provide an impetus for future research. As such, it provides an important resource for the main consumers of the academic marketing research literature: doctoral students, faculty, and marketing science practitioners in consulting firms and companies.

Review of Marketing Research

Review of Marketing Research
Author: Naresh Malhotra
Publisher: Routledge
Total Pages: 216
Release: 2017-10-19
Genre: Business & Economics
ISBN: 1351551027

First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.