Regression vodcast 3.3

Update: 2013-10-17

Description

Further features of the hat matrix; y=Hy, X=HX, e=(I-H)y [Released under Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales licence.]

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Regression vodcast 3.3

2013-10-1703:13

Regression vodcast 3.2

2013-10-1704:59

Exponential.Family_the.Binomial

2013-02-1807:09

Binomial.Conjugate.Analysis

2013-02-1808:13

GLMs - estimating phi

2013-01-1605:08

Normal Density (Canonical) Exponential Family Format

2013-01-16--:--

Exponential family (canonical form)

2013-01-1105:40

Introduction to Standard Uniform Distribution

2013-01-1111:17

Regression: one possible model

2012-12-0806:24

Maximum_likelihood_mu_js

2012-11-0219:07

Regression as a projection problem

2012-10-1905:31

Hat matrix

2012-10-1913:06

Revision of single variable least squares

2012-10-0804:29

Regression-application to New York Restaurant Prices

2012-10-0228:04

Poisson MGF

2012-09-2104:50

The Poisson PMF

2012-09-2105:48

Binomial

2012-09-1109:34

Geometric Distribution

2012-09-1104:42

Binomial MLE

2012-09-1106:06

Exponential MLE

2012-09-1103:32

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#box-pro-ellipsis-17575424016518{-webkit-line-clamp:2;}Regression vodcast 3.3

Regression vodcast 3.3

Paul Hewson

Regression vodcast 3.3