<--- Back to Details
First PageDocument Content
Ordinary least squares / Least squares / Gauss–Markov theorem / Simple linear regression / Seemingly unrelated regressions / Linear least squares / Coefficient of determination / Generalized least squares / Errors and residuals in statistics / Statistics / Regression analysis / Linear regression
Date: 2009-06-10 05:05:20
Ordinary least squares
Least squares
Gauss–Markov theorem
Simple linear regression
Seemingly unrelated regressions
Linear least squares
Coefficient of determination
Generalized least squares
Errors and residuals in statistics
Statistics
Regression analysis
Linear regression

Add to Reading List

Source URL: media.wiley.com

Download Document from Source Website

File Size: 96,56 KB

Share Document on Facebook

Similar Documents

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

DocID: 1v2C1 - View Document

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

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

DocID: 1u6YM - View Document