A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, ...

A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, ...

Description: This is a course on linear models as well as generalized linear models and their application. Topics include linear regression and modeling, ...

STAT 151A - Linear Modelling: Theory and Applications. Description. A coordinated treatment of linear and generalized linear models and their application.

26 дек. 2021 г. · I think it's a good course and an absolute must-take if you're serious about CS theory, but it's also the class that made me realize that hard-core CS theory ...

Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis.

This document outlines the course details for STAT 151A: Linear Modelling - Theory and Applications offered in Fall 2015 at UC Berkeley.

Stat 151A Linear Modeling at University of California, Berkeley. 0 stars 0 forks Branches Tags Activity.

Stat 151 is a course dedicated to providing statistical tools for students engaged in ongoing research projects related to clustered or longitudinal data.

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