Lecture 10 - Generalized linear models
Lecture 10 - Generalized linear models Table of contents 1 Packages 2 Data 2.1 Read csv-file 2.2 Factor labels 2.3 Frequency table of the number of awards 2.4 Average number of awards 2.5 Expected frequencies 3 Number of awards by program 3.1 Table by program 3.2 Mean and variance by program 3.3 Poisson regression model 3.4 Estimated \(\mu\) with confidence interval 4 Influence measures 4.1 Levera
https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture10_ex1_poisson.html - 2026-05-09
