| Title Details: | |
|
Analysis of multivariate techniques |
|
| Other Titles: |
Case studies |
| Authors: |
Petridis, Dimitrios |
| Reviewer: |
Siardos, Georgios |
| Subject: | MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > MULTIVARIATE ANALYSIS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > APPLICATIONS |
| Keywords: |
Multivariate Analysis
Multiple Regression Ordinal Regression Multinomial Regression Regression Diagnostics Principal Component Analysis Factor Analysis Cluster Analysis MANOVA Discriminant Analysis Chaid And Cart Classification Models Canonical Correlation Correspondence Analysis Reciprocal Averaging Redundancy Analysis Canonical Correspondence Analysis Case Studies Logistic Regression Binomial Regression Item Analysis |
| Description: | |
| Abstract: |
The writing of this book is addressed to all scientists engaged in research at the undergraduate, postgraduate, and doctoral levels. The content deals with the most popular methods of applying multivariate techniques, enriched with a plethora of examples stemming from the author's extensive experience with similar research published in internationally renowned journals. The examples concern case studies from various scientific fields: Food Science, Aquatic Ecology, Social Sciences and Education, Medical Science.
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| Technical Editors: |
Koumartzis, Nikolaos |
| Graphic Editors: |
Koumartzis, Nikolaos |
| Type: |
Undergraduate textbook |
| Creation Date: | 2015 |
| Item Details: | |
| ISBN |
978-960-603-140-3 |
| License: |
http://creativecommons.org/licenses/by-nc-sa/3.0/gr |
| DOI | http://dx.doi.org/10.57713/kallipos-797 |
| Handle | http://hdl.handle.net/11419/2126 |
| Bibliographic Reference: | Petridis, D. (2015). Analysis of multivariate techniques [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-797 |
| Language: |
Greek |
| Consists of: |
1. Introduction to Multivariate Analysis 2. Multiple Regression and Correlation 3. Logistic Regression 4. Principal Component Analysis - Factor Analysis 5. Cluster Analysis 6. Multiple discriminant analysis 7. Regression and classification trees 8. Multivariate analysis of variance 9. Correspondence Analysis 10. Canonical correspondence analysis 11. Item analysis 12. Case Studies |
| Number of pages |
445 |
| Publication Origin: |
Kallipos, Open Academic Editions |
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