Multivariate Statistical Analysis Based (8 results)

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-07 Pages: 284 Publisher: China Renmin University Press This book has the following characteristics: (1) It is concise and omits some tedious theoretical proofs and formula derivations; (2) It emphasizes application and uses vivid and specific examples to explain multivariate statistical analysis methods. which is convenient for readers to learn; (3) It is closely integrated with R and uses R software to implement multivariate statistical calculations.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2015-4-1 Pages: 189 Publisher: China Renmin University Press This book introduces the basic principles of multivariate statistical methods. through case studies. to provide the reader Guide multivariate statistical methods. From the content point of view. the book covers the basic common multivariate statistical methods. including principal component analysis. factor analysis. cluster analysis. discriminant analysis. canonical correlation analysis. corres.

paperback. Condition: New. Pub Date: 2014-10-01 Pages: 156 Publisher: China Renmin University Press multivariate statistical analysis is a statistical application of one of the strongest branch of the book is very popular with the current R multivariate statistical analysis software to explain the basic theory and methods. and strive to adopt clear and concise language to illustrate the theory. using the R software to achieve specific computational analysis. trying to help the reader understand the true meaning of mult.

paperback. Condition: New. Paperback. Pub Date: 2021-05-01 Pages: 238 Language: Chinese Publisher: Renmin University of China Press Multivariate Statistical Analysis: R Language/R Application-Based Statistics Series combined with R language introduced the multivariate normal distribution. Common multivariate statistics such as mean vector test. covariance matrix test. cluster analysis. discriminant analysis. principal component analysis. factor analysis. correspondence analysis. canonical correlation analysis. qualitat.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-08-01 Pages: 254 Publisher: Tongji University Press Multivariate Statistical Analysis: Based on the experimental R based on the application of multivariate statistical analysis. 2nd edition (Han Ming. Tongji University Press) content. based on the preparation of the R experiment. In front of each chapter (starting with Chapter 2). first a brief introduction about the materials according to the original concept .

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2020-04-01 Pages:224 Publisher: Renmin University of China Press This book is an application-oriented multivariate statistical analysis textbook written based on R software. The main contents include: multivariate linear models. generalized linear models. and clustering. Analysis. discriminant analysis. principal component analysis. factor analysis. correspondence analysis. canonical correlation analysis and multidimensional scaling analysis.?Use vivid and .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-01-01 Pages: 332 Publisher: Renmin University of China Press This book is based on data-driven thinking. using R and Python as programming tools to analyze a large number of actual cases. Introduction to regression. classification and various multivariate analysis methods (including principal component analysis. factor analysis. cluster analysis. canonical correlation analysis. binary and multivariate correspondence.

paperback. Condition: New. Paperback. Pub Date: 2022-11-01 Pages: 199 Language: Chinese Publisher: Economic Science Press Multivariate statistical analysis is one of the statistical analysis methods that have developed rapidly in recent years. and is widely used in natural science. management science. society. economy. etc. each field. On the basis of explaining the principles of multivariate statistical analysis methods in simple terms. this book will focus on introducing the application of multivariate statistical an.