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Linear and Logistic Regression

Official Course Description

NF Course Description (SV)

Description

Least squares and maximum-likelihood-method; odds ratios; Multiple and linear regression; Matrix formulation; Methods for model validation, residuals, outliers, influential observations, multi co-linearity, change of variables; Choice of regressors, F-test, likelihood-ratio-test; Confidence intervals and prediction. Introduction to: Correlated errors, Poisson regression as well as multinomial and ordinal logistic regression.

Coming Sessions

VT2

Finished Sessions

Course Information

LTH Code:FMSN30
NF Code: MASM22
Credits:7.5
Level:Advanced Level
Language:English

Prerequisites

Mathematical statistics, basic course (Alt Mandatory) Mathematical statistics (Alt Mandatory) Matematisk statistik for kemister (Alt Mandatory) Mathematical Statistics for Physicists (Alt Mandatory) Mathematical Statistics, Basic Course (Alt Mandatory) Mathematical Statistics, Basic Course (L,V) (Alt Mandatory) Mathematical Statistics, Basic Course (M) (Alt Mandatory)

CEQ

CEQ - Linear and Logistic Regression

Questions: webmaster
Last update: 2013-04-10

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