Springer Texts in Statistics Ser.: Modern Multivariate Statistical Techniques
The "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning" is a comprehensive textbook authored by Alan Julian Izenman. Published by Springer New York in 2008, this hardcover book covers a variety of subjects including computer science, mathematics, and statistical analysis. With a length of 9.3 inches and a width of 6.1 inches, this textbook contains 733 pages filled with valuable insights on modern multivariate statistical techniques. It is a valuable resource for students and professionals alike who are interested in regression, classification, and manifold learning. Binding split otherwise excellent condition.
Specifications
| ISBN | 9780387781884 |
| Subject Area | Mathematics, Computers |
| Publisher | Springer New York |
| Item Length | 9.2 in |
| Publication Year | 2008 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Author | Alan Julian Izenman |
| Item Weight | 58.2 Oz |
| Item Width | 6.1 in |
| Number Of Pages | 733 Pages |
The «Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning» is a comprehensive textbook authored by Alan Julian Izenman. Published by Springer New York in 2008, this hardcover book covers a variety of subjects including computer science, mathematics, and statistical analysis. With a length of 9.3 inches and a width of 6.1 inches, this textbook contains 733 pages filled with valuable insights on modern multivariate statistical techniques. It is a valuable resource for students and professionals alike who are interested in regression, classification, and manifold learning. Binding split otherwise excellent condition.
