Subject: Subject Sylbus: Generalized Linear Models in Data Analysis - 096444

Generalized Linear Models in Data Analysis - 096444
Will not be given the year
Credit
Points
2.5
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1     4
Possibility to guided reading

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Introduction to Statistics 094423


Exponential Families I.E., Normal, Poisson, Binomial and Generalized Linear Models (Including Logistic Regression). Estimation, Hypothesis Testing and Diagnostics. Topics Include Variance Analysis and Mixed Effects Models for Normal Data.




Textbooks
PublishedPublisherAuthorsBook
1998wileydraper and smithapplied regression analysis
1990chapman and hall - university of newcastleannette j. dobsonan introduction to generalized linear models
1990chapman and hall - university of newcastlea. j. dobsonan introduction to generalized linear models

Created in 06/03/2021 Time 01:12:48