'Logits' diaporamas de présentation

Multiple Discriminant Analysis and Logistic Regression

Multiple Discriminant Analysis and Logistic Regression. Multiple Discriminant Analysis. Appropriate when dep. var. is categorical and indep. var. are metric MDA derives variate that best distinguishes between a priori groups

608 views • 60 slides

1.23k views • 55 slides

Binary independent and dependent variables

Binary independent and dependent variables. 1. Binary independent variables. y = b 0 + b 1 x 1 + b 2 x 2 + . . . b k x k + u. 2. Dummy Variables. A dummy variable is a variable that takes on the value 1 or 0

524 views • 24 slides

Multiple Discriminant Analysis and Logistic Regression

Multiple Discriminant Analysis and Logistic Regression. Multiple Discriminant Analysis. Appropriate when dep. var. is categorical and indep. var. are metric MDA derives variate that best distinguishes between a priori groups

677 views • 23 slides

Multiple Discriminant Analysis and Logistic Regression

Multiple Discriminant Analysis and Logistic Regression. Multiple Discriminant Analysis. Appropriate when dep. var. is categorical and indep. var. are metric MDA derives variate that best distinguishes between a priori groups

694 views • 23 slides

Using the FRS to measure material deprivation in families with children

Using the FRS to measure material deprivation in families with children. Stephen McKay s.d.mckay@bham.ac.uk University of Birmingham FRS User Group 10 June 2010. Measuring deprivation. Indirect , Income-based measures HBAI, poverty series

287 views • 17 slides

Limited Dependent Variables

Limited Dependent Variables. P ( y = 1| x ) = G ( b 0 + x b ) y* = b 0 + x b + u, y = max ( 0,y* ). Binary Dependent Variables. Recall the linear probability model, which can be written as P( y = 1| x ) = b 0 + x b

332 views • 15 slides