<--- Back to Details
First PageDocument Content
Econometrics / Machine learning / Statistical methods / Decision tree learning / CHAID / Linear discriminant analysis / Analysis of covariance / Dummy variable / Linear regression / Statistics / Regression analysis / Decision trees
Date: 2010-02-27 00:59:50
Econometrics
Machine learning
Statistical methods
Decision tree learning
CHAID
Linear discriminant analysis
Analysis of covariance
Dummy variable
Linear regression
Statistics
Regression analysis
Decision trees

Tree Structured Data Analysis: AID, CHAID and CART Leland Wilkinson SPSS Inc., 233 South Wacker, Chicago, IL[removed]Department of Statistics, Northwestern University, Evanston, IL[removed]email: [removed] KEY WORDS: r

Add to Reading List

Source URL: www.cs.uic.edu

Download Document from Source Website

File Size: 79,08 KB

Share Document on Facebook

Similar Documents

Analysis Regression Summary KDD CUP 2017: Volume Prediction Task Solution by CarTrailBlazer

Analysis Regression Summary KDD CUP 2017: Volume Prediction Task Solution by CarTrailBlazer

DocID: 1vaMX - View Document

Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable François Gerard, Miikka Rokkanen, and Christoph Rothe Abstract The key assumption in regression discontinuity analysis

Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable François Gerard, Miikka Rokkanen, and Christoph Rothe Abstract The key assumption in regression discontinuity analysis

DocID: 1v2C1 - View Document

Fully Bayesian analysis of allele-specific RNA-seq data using a hierarchical, overdispersed, count regression model Ignacio Alvarez Jarad Niemi

Fully Bayesian analysis of allele-specific RNA-seq data using a hierarchical, overdispersed, count regression model Ignacio Alvarez Jarad Niemi

DocID: 1uCLx - View Document

Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

DocID: 1urip - View Document

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

DocID: 1u6YM - View Document