다변량 분석이란 - wolfpack.hnu.ac.kr

1 CHAPTER 1 1) (casual relationship) , ( : Multiple Regression, : Multivariate ANOVA) 2) (reduction) (classification) . (large), (complicate & complex) .. (1) , , , 4 . 4 ( ) ( ), ( ) ( ) . (common entity) .. ( ) . 4 ( , , , ) 2 ( , ) .. 4.

2 Chapter1. 2 (2) 100 IQ, , , , , , . 100 .. (3) ( , , ) ( , , ) , .. , (confirmatory) , ((exploratory) .. (Statistics is about data) . (collection), (summarization), (analysis), (presentation) . ( : population) (sample) ( : , , ) ( , : IQ, , , , ).)

3 ( : , ), ( : ), ( : IQ, , ), ( : , 3 ) .. (1) (2) .. 30 . , , . , (data matrix) .. n p ( , , , , , .. ) .. ( ) ( ) . ijx.

4 Npn212p22211p1211 x xnxxxX 1var 2var 3var .. pvar 1 1obs X11 180 X12 82 X13 .. Married X1P 2 2obs X21 163 X22 56 X23 .. Single X2P .. n nobs Xn1 173 Xn2 75 Xn3 .. Single Xnp Chapter1. 4 . ix p . pxxxx 21~ njxxxxpjjjj,,2,1,21~ , . , , , . (history) (trail) . , .. ( ) (random experiment, ) (sample space, S) (element).

5 (1) (continuous) 5 . , , . (2) (discrete) , , , . (1) (metric, measurable, quantitative) , , , IQ, , .. ( : ) (2) , (Non-metric, categorical, classified) , , , ( , , ) .. (nominal) ( , ), ( , ) . (ordinal) (A>B>C>D>E) . (time series) (Cross-section: ) . ( , ) ( ).

6 (casual relationship) ( ) (exploratory) (independent) ( ) (dependent) (response) . Y, X Chapter1. 6 .. , .. (1) (Multiple Regression) , ( .) 2 (Multivariate Regression), (Simultaneous Equation Regression) . || || ( : ) , , , . 1) , , , ( ) 2) ( ) ( ) 3) ( ).

7 (2) (Logistic Regression) (binary, dichotomous) .. || || 7 , , ( : ), . (3) (ANOVA: Analysis Of Variance) . || || ( : ) ( , , ), ( , , ), (30 , 40 , 50 ) . (4) (Multivariate ANOVA) 2 . || || ( ) , , ( , , ), ( / ) . (variable directed technique).

8 (component), (factor), (canonical variate) . (1) (Principal Component Analysis: PCA) (2) (Factor Analysis: FA) (3) (Canonical Analysis: CA) Chapter1. 8 . (Individual Directed) . (1) (Cluster Analysis: CA): Multi-Dimensional Scaling (MDS: ) (2) (Discriminant Analysis: DA): (Canonical Discriminant Analysis: CDA), (Logistic Discriminant Analysis: LDA) .. 30 ( 15 , 15 ).

9 (abnormality) (outliers: ) ( ) ( ) .. p )(pk . , , , 2~3 .. ( , , , ) ( .) . , ( .) , . ( ) (variable-directed technique) .. 2 ( ).

10 , , , ( , , , ) . ( ) , , , . Logistic Logistic . 30 ( , , , ) , , , ( ) .. (2 ) (MDS: Multi-Dimensional Scaling) . Chapter1. 10 , . 30 ( , ) . , , , 30 .. 2.