piatok 29. októbra 2010
random numbers, R, sampling, bootstrapping
RANDOM NUMBERS - concise tutorial in R
rnorm
runif
sample
useful handout on random numbers, simulating dice roll, coin toss.
loops
cf wiki book on Statistical analysis with R
http://www.astrostatistics.psu.edu/datasets/R/Random.html
rnorm
runif
sample
useful handout on random numbers, simulating dice roll, coin toss.
loops
cf wiki book on Statistical analysis with R
http://www.astrostatistics.psu.edu/datasets/R/Random.html
štvrtok 28. októbra 2010
multicollinearity, mediation, suppression
multicollinearity - excellent tutorial on causes, consequences of multicollinearity in multivariate linear regression - Uni Pensylvania
“LINEAR REGRESSION collinearity suppression xxxXX,” http://www.psych.umn.edu/faculty/waller/classes/mult10/readings/wall05.pdf. by Friedman, Wall, Graphical Views of Suppression and Multicollinearity in
multicollinearity - concise introduction
wiki - multicollinearity
CAUTION WITH RULES OF THUMB - factors affecting collinearity (variance of regression coefs)
- O Brien
short one-page on multicollinearity measures: tolerance, variance inflation factor (1/tolerance) and its management
orthogonalization , factor analysis for collinearity - ppt - example from functional MRI
mediation, cf MLR, sobel test, structural equation modelling, pathway analysis....
structural collinearity Reducing structural multicollinearity XXX
A caution regarding rules of thumb for variance inflation factors XXX
treating multicollinearity
... one way is combining of correlated variables into one, if it makes sense Leech eta al 2005 SPSS for intermediate statistics, p 96
cf centering
suppression c Am. Statistician
effect of variable that is not correlated with outcome, but correlated with other predictors - it increases variance of estimates of other predictors. (Graphical views of suppression and multicollinearity in multiple linear regression.)
“LINEAR REGRESSION collinearity suppression xxxXX,” http://www.psych.umn.edu/faculty/waller/classes/mult10/readings/wall05.pdf. by Friedman, Wall, Graphical Views of Suppression and Multicollinearity in
- Multiple Linear Regression
multicollinearity - concise introduction
wiki - multicollinearity
CAUTION WITH RULES OF THUMB - factors affecting collinearity (variance of regression coefs)
- O Brien
short one-page on multicollinearity measures: tolerance, variance inflation factor (1/tolerance) and its management
orthogonalization , factor analysis for collinearity - ppt - example from functional MRI
mediation, cf MLR, sobel test, structural equation modelling, pathway analysis....
structural collinearity Reducing structural multicollinearity XXX
A caution regarding rules of thumb for variance inflation factors XXX
treating multicollinearity
... one way is combining of correlated variables into one, if it makes sense Leech eta al 2005 SPSS for intermediate statistics, p 96
cf centering
suppression c Am. Statistician
effect of variable that is not correlated with outcome, but correlated with other predictors - it increases variance of estimates of other predictors. (Graphical views of suppression and multicollinearity in multiple linear regression.)
utorok 26. októbra 2010
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