مبدأ متافیزیک روح: بررسی‌هایی در تاریخ پلوتونیسم بین افلاطون و پلوتین

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analysing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analysing multivariate data, the text assumes two or more statistics courses as a prerequisite. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analysing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analysing multivariate data, the text assumes two or more statistics courses as a prerequisite. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed Cover......Page 1 Table of Contents......Page 4 Chapter 1. Aspects of Multivariate Analysis......Page 6 Chapter 3. Sample Geometry and Random Sampling......Page 54 Chapter 2. Matrix Algebra and Random Vectors......Page 92 Chapter 4. The Multivariate Normal Distribution......Page 154 Chapter 5. Inferences About a Mean Vector......Page 215 Chapter 6. Comparisons of Several Multivariate Means......Page 278 Chapter 7. Multivariate Linear Regression Models......Page 365 Chapter 8. Principal Components......Page 435 Chapter 9. Factor Analysis and Inference for Structured Covariance Matrices......Page 486 Chapter 10. Canonical Correlation Analysis......Page 544 Chapter 11. Discrimination and Classification......Page 580 Chapter 12. Clustering, Distance Methods and Ordination......Page 676 Appendix......Page 762 D......Page 770 I......Page 771 N......Page 772 R......Page 773 V......Page 774 Z......Page 775 Cover 1 Table of Contents 4 Chapter 1. Aspects of Multivariate Analysis 6 Chapter 3. Sample Geometry and Random Sampling 54 Chapter 2. Matrix Algebra and Random Vectors 92 Chapter 4. The Multivariate Normal Distribution 154 Chapter 5. Inferences About a Mean Vector 215 Chapter 6. Comparisons of Several Multivariate Means 278 Chapter 7. Multivariate Linear Regression Models 365 Chapter 8. Principal Components 435 Chapter 9. Factor Analysis and Inference for Structured Covariance Matrices 486 Chapter 10. Canonical Correlation Analysis 544 Chapter 11. Discrimination and Classification 580 Chapter 12. Clustering, Distance Methods and Ordination 676 Appendix 762 Index 770 A 770 B 770 C 770 D 770 E 771 F 771 G 771 H 771 I 771 J 772 L 772 M 772 N 772 O 773 P 773 Q 773 R 773 S 774 T 774 U 774 V 774 W 775 Y 775 Z 775 Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite