Download or read book Managerial Applications of Multivariate Analysis in Marketing written by James H. Myers and published by South Western Educational Publishing. This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Managerial Applications of Multivariate Analysis in Marketing written by James H. Myers and published by Thomson. This book was released on 2004-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate Analysis in Marketing written by David A. Aaker and published by . This book was released on 1971 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate Analysis written by Klaus Backhaus and published by Springer Nature. This book was released on 2023-06-28 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Contributions to Multivariate Analysis with Applications in Marketing written by Frederieke van Perlo- ten Kleij and published by . This book was released on 2004 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Manager s Guide to Marketing Research written by Paul E. Green and published by . This book was released on 1967 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on research methodology in respect of marketing - covers the application of multivariate statistical method to marketing problems, simulation of marketing processes, etc.
Download or read book Quantitative Modelling In Marketing And Management Second Edition written by Luiz Moutinho and published by World Scientific. This book was released on 2015-11-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.The first edition of 'Quantitative Modelling in Marketing and Management' focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models.The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output.
Download or read book Applied Statistics and Multivariate Data Analysis for Business and Economics written by Thomas Cleff and published by Springer. This book was released on 2019-07-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Multiple Discriminant Analysis Marketing Research Applications written by Richard Johnson and published by Marketing Classics Press. This book was released on 2011-06-30 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marketing Research and Modeling Progress and Prospects written by Yoram Wind and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Multivariate Analysis in Management Engineering and the Sciences written by Leandro Freitas and published by BoD – Books on Demand. This book was released on 2013-01-09 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Analysis of Management Data written by Hubert Gatignon and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures. Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.
Download or read book A Second Generation of Multivariate Analysis written by Pierre Valette-Florence and published by . This book was released on 1987 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Analysis of Management Data written by Hubert Gatignon and published by Springer Science & Business Media. This book was released on 2013-10-17 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This third edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, this edition includes: · A new chapter on the analysis of mediation and moderation effects · Examples using STATA for most of the statistical methods · Example of XLSTAT applications Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.
Download or read book Methods and Applications of Statistics in Business Finance and Management Science written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science. Uniting established literature with the latest research, this volume features classic articles from the acclaimed Encyclopedia of Statistical Sciences, Second Edition along with brand-new contributions written by today's leading academics and practitioners. The result is a compilation that explores classic methodology and new topics, including: Analytical methods for risk management Statistical modeling for online auctions Ranking and selection in mutual funds Uses of Black-Scholes formula in finance Data mining in prediction markets From auditing and marketing to stock market price indices and banking, the presented literature sheds light on the use of quantitative methods in research relating to common financial applications. In addition, the book supplies insight on common uses of statistical techniques such as Bayesian methods, optimization, simulation, forecasting, mathematical modeling, financial time series, and data mining in modern research. Providing a blend of traditional methodology and the latest research, Methods and Applications of Statistics in Business, Finance, and Management Science is an excellent reference for researchers, managers, consultants, and students in the fields of business, management science, operations research, supply chain management, mathematical finance, and economics who must understand statistical literature and carry out quantitative practices to make smart business decisions in their everyday work.
Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
Download or read book Multivariate Methods for Market and Survey Research written by Jagdish N. Sheth and published by . This book was released on 1977 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
