<--- Back to Details
First PageDocument Content
Parametric statistics / Estimation theory / Time series analysis / Bootstrapping / Plot / Q-Q plot / Ordinary least squares / Linear regression / Errors and residuals in statistics / Statistics / Regression analysis / Econometrics
Date: 2010-12-19 04:13:33
Parametric statistics
Estimation theory
Time series analysis
Bootstrapping
Plot
Q-Q plot
Ordinary least squares
Linear regression
Errors and residuals in statistics
Statistics
Regression analysis
Econometrics

icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010

Add to Reading List

Source URL: cran.uib.no

Download Document from Source Website

File Size: 3,49 MB

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