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00424nam ac200169 k 4500
000003577585
20220101120000
ta
010731s1984 US 000 eng
▼a 211070
▼c 211070
▼l WM0003024047
▼a QA278
▼a QA278
▼b A33
▼a COMPUTER AIDED MULTIVARIATE ANALYSIS/
▼d AFIFI,A A
▼a BELMONT:
▼b LIFETIME LEARNING PUB.,
▼c 1984.
▼a 457p.
▼a AFIFI,A A
▼a 단행본
WMO199924313
권 호 : 457
발행년 : 1984
서 명 : COMPUTER AIDED MULTIVARIATE ANALYSIS
발행처 : AFIFI,A A
목차
1. WHAT IS MULTIVARIATE ANALYSIS?
2. CHARACTERIZING DATA FOR FUTURE ANALYSES
3. PREPARING FOR DATA ANALYSIS
4. DATA SCREENING AND DATA TRANSFORMATION
5. SELECTING APPROPRIATE ANALYSIS
6. SIMPLE LINEAR REGRESSION AND CORRELATION:EXAMINNG RELATIONSHIPS BETW-
7. EEN TWO VARIABLES
8. MULTIPLE REGRESSION AND CORRELATION:EXAMINING LINEAR RELATIONS BETWE-
9. EN ONE VARIABLES AND MANY VARIABLES
10. VARIABLE SELECTION IN REGRESSION ANALYSIS
11. NONLINEAR REGRESSION ANALYSIS
12. RECENT ADVANCES IN REGRESSION ANALYSIS
13. DISCRIMINANT ANALYSIS:CLASSIFYING INDIVIDUALS INTO POPULATIONS
14. LOGISTIC REGRESSION:ANOTHER METHOD OF CLASSIFICATION
15. PRICIPAL COMPONENTS ANALYSIS:RESTRUCTURING DATA
Multivariate data analysis 8th ed
QA278 H153
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