Multivariate Data Analysis


Multivariate Data Analysis
Author: Kim H. Esbensen
Publisher: Multivariate Data Analysis
ISBN: 9788299333030
Size: 17.12 MB
Format: PDF, Mobi
View: 3939
Get Books

Multivariate Data Analysis

Multivariate Data Analysis by Kim H. Esbensen, Multivariate Data Analysis Books available in PDF, EPUB, Mobi Format. Download Multivariate Data Analysis books, "Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.


Multivariate Data Analysis
Language: en
Pages: 598
Authors: Kim H. Esbensen, Dominique Guyot, Frank Westad, Lars P. Houmoller
Categories: Experimental design
Type: BOOK - Published: 2002 - Publisher: Multivariate Data Analysis
"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate
Multivariate Data Analysis
Language: en
Pages: 900
Authors: Joseph Hair, Rolph Anderson, Bill Black, Barry Babin
Categories: Business & Economics
Type: BOOK - Published: 2016-08-18 - Publisher: Pearson Higher Ed
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
Multivariate Data Analysis with Readings
Language: en
Pages: 757
Authors: Joseph F. Hair, Rolph E. Anderson
Categories: Mathematics
Type: BOOK - Published: 1995 - Publisher: Macmillan College
Examining your data. Multiple regression analysis. Multiple discriminat analysis. Multivariate analysis of variance. Canonical correlation analysis. Factor analysis. Cluster analysis. Multidimensional scaling. Conjoint analysis. Structural equation modeling.
Multivariate Data Analysis
Language: en
Pages: 899
Authors: Joseph F. Hair
Categories: Mathematics
Type: BOOK - Published: 2006 - Publisher: Prentice Hall
Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
Matrix-Based Introduction to Multivariate Data Analysis
Language: en
Pages: 457
Authors: Kohei Adachi
Categories: Mathematics
Type: BOOK - Published: 2020-05-20 - Publisher: Springer Nature
This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly
Making Sense of Multivariate Data Analysis
Language: en
Pages: 233
Authors: John Spicer, Reader in Marine Biology John Spicer
Categories: Mathematics
Type: BOOK - Published: 2005 - Publisher: SAGE
Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual overview of the foundations of MDA and of a range of specific techniques including multiple regression, logistic regression, discriminant analysis, multivariate
Multivariate Data Analysis
Language: en
Pages: 364
Authors: William W. Cooley, William W.. Cooley, Paul R. Lohnes
Categories: Multivariate analysis
Type: BOOK - Published: 1971 - Publisher:
Books about Multivariate Data Analysis
Applied Multivariate Statistical Analysis
Language: en
Pages: 458
Authors: Wolfgang Karl Härdle, Léopold Simar
Categories: Mathematics
Type: BOOK - Published: 2007-08-09 - Publisher: Springer Science & Business Media
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in
Applied Multivariate Data Analysis
Language: en
Pages: 342
Authors: Brian S. Everitt, Department of Biostatistics and Computing Brian S Everitt, Graham Dunn
Categories: Business & Economics
Type: BOOK - Published: 2001 - Publisher: Oxford University Press
Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the
MULTIVARIATE DATA ANALYSIS
Language: en
Pages: 448
Authors: R. Shanthi
Categories: Mathematics
Type: BOOK - Published: 2019-06-10 - Publisher: MJP Publisher
Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean