Introduction to multivariate analysis linear and nonlinear modeling
"Multivariate techniques are used to analyze data that arise from more than one variable in which there are relationships between the variables. Mainly based on the linearity of observed variables, these techniques are useful for extracting information and patterns from multivariate data as wel...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press is an imprint of Taylor & Francis Group, an Informa Business
2014
|
| Series: | Chapman & Hall/CRC Texts in Statistical Science
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 103644 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241220041214.0 | ||
| 008 | 221104 20142014flua bi 001 0 eng d | ||
| 020 | |a 9781466567283 (hardback) | ||
| 039 | 9 | |a 202211041206 |b VLOAD |c 201710241246 |d faezah |y 201704201608 |z hasri | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a QA 278 |b .K597 2014 | ||
| 100 | 1 | |a Konishi, Sadanori |e author | |
| 245 | 1 | 0 | |a Introduction to multivariate analysis |b linear and nonlinear modeling |c Sadanori Konishi |
| 264 | 1 | |a Boca Raton, FL |b CRC Press is an imprint of Taylor & Francis Group, an Informa Business |c 2014 | |
| 264 | 4 | |c © 2014 | |
| 300 | |a xxv, 312 pages |b illustrations |c 24 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC Texts in Statistical Science | |
| 505 | 0 | |a 1. Introduction; 2. Linear Regression Models; 3. Nonlinear Regression Models; 4. Logistic Regression Models; 5. Model Evaluation and Selection; 6. Discriminant Analysis; 7. Bayesian Classification; 8. Support Vector Machines; 9. Principal Component Analysis; 10. Clustering; A. Bootstrap Methods; B. Lagrange Multipliers; C. EM Algorithm | |
| 520 | |a "Multivariate techniques are used to analyze data that arise from more than one variable in which there are relationships between the variables. Mainly based on the linearity of observed variables, these techniques are useful for extracting information and patterns from multivariate data as well as for the understanding the structure of random phenomena. This book describes the concepts of linear and non-linear" | ||
| 592 | |a 20170164 |b 28/7/2017 |c RM 372.04 |h Nijuyon | ||
| 650 | 0 | |a Multivariate analysis | |
| 830 | 0 | |a Chapman & Hall/CRC Texts in Statistical Science | |
| 999 | |a vtls000058775 |c 103644 |d 103644 | ||


