Multivariate Analysis for Strategic Decisions

Multivariate Analysis for Strategic Decisions PDF Author: Michael Lieberman
Publisher: Createspace Independent Publishing Platform
ISBN: 9781985206267
Category :
Languages : en
Pages : 284

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Book Description
For more than 25 years Michael Lieberman used his statistical paintbrush to define problems and set in motion the process that links the producers, customers, and end users to the marketer through information. This information is used to identify and define marketing opportunities and problems and improve one's understanding of marketing as a process. When embarking on a strategic decision, it is often best to start at the end: What does the client want in his hand at the end of the process? This volume is a collection of procedures based on statistical methods and inference to solve strategic marketing issues, define choice motives, forecast the optimum price of items, instruct graphically what the marketing problem needs to solve, and discuss thought within the marketing, research, and strategic consulting industries.

Multivariate Analysis for Strategic Decisions

Multivariate Analysis for Strategic Decisions PDF Author: Michael Lieberman
Publisher: Createspace Independent Publishing Platform
ISBN: 9781985206267
Category :
Languages : en
Pages : 284

Get Book Here

Book Description
For more than 25 years Michael Lieberman used his statistical paintbrush to define problems and set in motion the process that links the producers, customers, and end users to the marketer through information. This information is used to identify and define marketing opportunities and problems and improve one's understanding of marketing as a process. When embarking on a strategic decision, it is often best to start at the end: What does the client want in his hand at the end of the process? This volume is a collection of procedures based on statistical methods and inference to solve strategic marketing issues, define choice motives, forecast the optimum price of items, instruct graphically what the marketing problem needs to solve, and discuss thought within the marketing, research, and strategic consulting industries.

Managerial Applications of Multivariate Analysis in Marketing

Managerial Applications of Multivariate Analysis in Marketing PDF Author: James H. Myers
Publisher: South Western Educational Publishing
ISBN: 9780877573012
Category : Marketing
Languages : en
Pages : 0

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Book Description
Multivariate statistical analysis techniques are now an integral part of most large-scale strategic market studies, so marketing practitioners must learn what these techniques can do and how to apply them.However, most marketers have little or no formal training in complex analytical methods, and many have neither the time nor the interest in acquiring this knowledge. If you are one of them, this book is for you. Managerial Applications of Multivariate Analysis in Marketing is written for marketing research practitioners-even those who don’t have time to read it cover to cover. Each chapter is as self-contained as possible so that researchers and decision makers can more quickly understand the fundamentals of any one statistical technique. It is a reference book, not a textbook, so it does not focus on the statistical techniques themselves and leave you to wonder how they apply to marketing. Most of the calculations in this book can be done by a personal computer, so the authors only cover the math you need while focusing on the marketing implications.

Multivariate Analysis of Variance (MANOVA)

Multivariate Analysis of Variance (MANOVA) PDF Author: Harry R. Barker
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 150

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Book Description
Historical origins of MANOVA; Era of multivariate techniques; Sequential trends in application of multivariate techniques; Conceptual theory underlying MANOVA; Parallels between univariate ANOVA and multivariate MANOVA; Factor analysis and MANOVA; MANOVA tests of statistical significance; Differential sensitivity of test criteria related to distribution of trace; Assumptions underlying ANOVA and MANOVA; Decision strategies; Decision errors; ANOVA power analysis; MANOVA power analysis; Bonferroni t; Classic MANOVA procedure; Hummel-sligo procedure; Mixed strategy; Classic research designs; Two preliminary issues; Control checklist; Origin of all classic ANOVA designs; Extension of t test for independent groups; Extension of the t test for matched pairs (subject as his or her own control); Mixed designs; Applications of MANOVA to classic research designs; Preliminary considerations; Classic designs; Application of MANOVA to univariate designs that involve repeated measures; Distinction between MANOVA applied to univariate and multivariate repeated-measures designs; Univariate analysis of repeated measures; A univariate procedure for analyzing repeated-measures designs; Multivariate analysis of variance of repeated-measures designs; Checklist for the investigator conducting MANOVA research; Decision to conduct a study or experiment; Selection of dependent variables; Selection of a MANOVA test criterion; Statement of problem; Research design; Computer program test; Selection of MANOVA strategy; Hierarchy of hypotheses; Reporting multivariate outcomes; Hand-calculated example of one-way (simple randomized) MANOVA.

Multivariate Analysis

Multivariate Analysis PDF Author: Klaus Backhaus
Publisher: Springer Nature
ISBN: 3658404116
Category : Business & Economics
Languages : en
Pages : 618

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Book Description
Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 17th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.

Multivariate Analysis

Multivariate Analysis PDF Author: W. J. Krzanowski
Publisher: Wiley-Blackwell
ISBN:
Category : Mathematics
Languages : en
Pages : 296

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Book Description
The second of a two-part work on multivariate analysis, this volume covers more specialized techniques; topics include discriminant analysis, cluster analysis, path analysis, graphical modelling, latent variable techniques, repeated measures analysis and growth curve models. Modern problems and techniques, such as handling of high dimensional data and the use of neural networks are featured and the book concludes with a discussion of strategic aspects of multivariate analysis.

Making Sense of Multivariate Data Analysis

Making Sense of Multivariate Data Analysis PDF Author: John Spicer
Publisher: SAGE
ISBN: 9781412904018
Category : Mathematics
Languages : en
Pages : 256

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Book Description
A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.

The SAGES Manual of Strategic Decision Making

The SAGES Manual of Strategic Decision Making PDF Author: Carol E.H. Scott-Conner
Publisher: Springer Science & Business Media
ISBN: 0387766715
Category : Medical
Languages : en
Pages : 631

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Book Description
Fifty scenarios in general surgery are described and possible treatment options are considered. A case presentation format is used to illustrate the author’s preferred strategy, supported by evidence from the literature. Alternate approaches favored by other experts are also presented. An excellent clinical decision making tool for general surgeons and residents.

Applied Statistics and Multivariate Data Analysis for Business and Economics

Applied Statistics and Multivariate Data Analysis for Business and Economics PDF Author: Thomas Cleff
Publisher: Springer
ISBN: 303017767X
Category : Business & Economics
Languages : en
Pages : 488

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Book Description
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

Advances in Multivariate Statistical Analysis

Advances in Multivariate Statistical Analysis PDF Author: Arjun K. Gupta
Publisher: Springer Science & Business Media
ISBN: 9401706530
Category : Mathematics
Languages : en
Pages : 392

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Book Description
The death of Professor K.C. Sreedharan Pillai on June 5, 1985 was a heavy loss to many statisticians all around the world. This volume is dedicated to his memory in recog nition of his many contributions in multivariate statis tical analysis. It brings together eminent statisticians Working in multivariate analysis from around the world. The research and expository papers cover a cross-section of recent developments in the field. This volume is especially useful to researchers and to those who want to keep abreast of the latest directions in multivariate statistical analysis. I am grateful to the authors from so many different countries and research institutions who contributed to this volume. I wish to express my appreciation to all those who have reviewed the papers. The list of people include Professors T.C. Chang, So-Hsiang Chou, Dipak K. Dey, Peter Hall, Yu-Sheng Hsu, J.D. Knoke, W.J. Krzanowski, Edsel Pena, Bimal K. Sinha, Dennis L. Young, Drs. K. Krishnamoorthy, D.K. Nagar, and Messrs. Alphonse Amey, Chi-Chin Chao and Samuel Ofori-Nyarko. I wish to thank Professors Shanti S. Gupta and James 0. Berger for their keen interest and encouragement. Thanks are also due to Cynthia Patterson for her help and Reidel Publishing Com~any for their cooperation in bringing this volume out.

Applied Multivariate Analysis

Applied Multivariate Analysis PDF Author: S. James Press
Publisher: Courier Corporation
ISBN: 0486139387
Category : Mathematics
Languages : en
Pages : 706

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Book Description
Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.