# Untitled

**Source**: https://teaching.scss.tcd.ie/wp-json/wp/v2/module/2197
**Parent**: https://teaching.scss.tcd.ie/module/stu34502-applied-linear-statistical-methods-ii/

{"id":2197,"date":"2020-11-12T11:09:15","date\_gmt":"2020-11-12T10:09:15","guid":{"rendered":"https:\/\/teaching.scss.tcd.ie\/?post\_type=module&p=2197"},"modified":"2025-06-10T09:22:39","modified\_gmt":"2025-06-10T08:22:39","slug":"stu34502-applied-linear-statistical-methods-ii","status":"publish","type":"module","link":"https:\/\/teaching.scss.tcd.ie\/module\/stu34502-applied-linear-statistical-methods-ii\/","title":{"rendered":"STU34502 – Applied Linear Statistical Methods II"},"content":{"rendered":"\n

**Not running 2022\/23.<\/strong><\/p>\n\n\n\n

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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| **Module Code<\/strong><\/td> STU34502<\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | **Module Name<\/strong> <\/td> Applied Linear Statistical Methods II<\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | **ECTS Weighting [**[1]<\/strong><\/a><\/strong><\/td> 5 ECTS <\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | **Semester taught<\/strong><\/td> Semester 2<\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | **Module Coordinator\/s <\/strong><\/td> Alessio Benavoli<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nModule Learning Outcomes <\/h2>\n\n\n\n On successful completion of this module, students will be able to: <\/p>\n\n\n\n  \n1. Demonstrate ways in which the multivariate linear regression model can be generalised to non-linear and non-Gaussian cases;<\/li>\n<\/ol>\n\n\n\n    \n1. Define the generalised linear model and implement an analysis with specific examples of this model;<\/li>\n<\/ol>\n\n\n\n       \n1. Motivate the use of deviance as a measure of model fit and its use in estimating prediction error.<\/li>\n<\/ol>\n\n\n\nModule Content<\/h2>\n\n\n\n The topics covered are: <\/p>\n\n\n\n          \n- Recap of linear regression <\/li>\n\n\n\n- The exponential family of distributions <\/li>\n\n\n\n- The generalised linear model <\/li>\n\n\n\n- Specific examples: binomial, Poisson, logistic, Negative Binomial, Zero-Inflated<\/li>\n\n\n\n- Deviance <\/li>\n\n\n\n- Applications and examples <\/li>\n\n\n\n- R programming<\/li>\n<\/ul>\n\n\n\n <\/p>\n\n\n\nTeaching and learning Methods <\/h2>\n\n\n\n Lectures <\/p>\n\n\n\nAssessment Details <\/h2>\n\n\n\n                         |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |                        | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |                        | **Assessment Component<\/strong><\/td> **Brief Description<\/strong> <\/td> **Learning Outcomes Addressed<\/strong><\/td> **% of total<\/strong><\/td> **Week set<\/strong><\/td> **Week Due<\/strong><\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Continuous assessment<\/td> <\/td> LO1, LO2, LO3<\/td> 30%<\/td> <\/td> <\/td><\/tr>|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Examination<\/td> In-person exam (2 hours)<\/td> LO1, LO2, LO3<\/td> 70%<\/td> <\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nReassessment Details<\/h2>\n\n\n\n  In-person exam (2 hours, 100%) <\/p>\n\n\n\nContact Hours and Indicative Student Workload<\/h2>\n\n\n\n  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | **Contact Hours (scheduled hours per student over full module), broken down by<\/strong>: <\/td> 33 **hours<\/strong><\/td><\/tr>|  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Lecture<\/td> 33 <\/td><\/tr>| **Independent study (outside scheduled contact hours), broken down by:<\/strong><\/td> 83 **hours<\/strong><\/td><\/tr>|  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | | Preparation for classes and review of material (including preparation for examination, if applicable<\/td> 65<\/td><\/tr>|  |  |  |  | | --- | --- | --- | --- | | completion of assessments (including examination, if applicable)<\/td> 18<\/td><\/tr>|  |  | | --- | --- | | **Total Hours<\/strong><\/td> 0 **hours<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nRecommended Reading List<\/h2>\n\n\n\n Dobson, A. J., and A. G. Barnett. 2008.\u202f*An Introduction to Generalized Linear Models<\/em>. CRC Press, Third Edition. <\/p>\n\n\n\n Myers, R. H., D. C. Montgomery, G. G. Vining, and T. J. Robinson. 2010.\u202f*Generalized Linear Models with Applications in Engineering and the Sciences<\/em>. Wiley, 2nd edition. <\/p>\n\n\n\n Pawitan, Yudi. 2001.\u202f*In All Likelihood: Statistical Modelling and Inference Using Likelihood<\/em>. Oxford Science Publications. <\/p>\n\n\n\n Tanner, M. A. 1996.\u202f*Tools for Statistical Inference- Methods for the Exploration of Posterior Distributions and Likelihood Functions<\/em>. Springer, 3rd Edition. <\/p>\n\n\n\nModule Pre-requisites <\/h2>\n\n\n\n **Prerequisite modules:<\/strong> either\u00a0 (STU12501 and STU12502) or (STU23501 and STU22005)<\/p>\n\n\n\nModule Co-requisites <\/h2>\n\n\n\n None<\/p>\n\n\n\nModule Website<\/h2>\n\n\n\n [Blackboard<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Not running 2022\/23. Module Code STU34502 Module Name Applied Linear Statistical Methods II ECTS Weighting [1] 5 ECTS Semester taught Semester 2 Module Coordinator\/s Alessio Benavoli Module Learning Outcomes On … [Read more<\/a><\/p>\n","protected":false},"author":104,"menu\_order":0,"template":"","meta":[],"module\_category":[116,72],"class\_list":["post-2197","module","type-module","status-publish","hentry","module\_category-msiss-year-4-elective","module\_category-s2"],"\_links":{"self":[{"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/module\/2197","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/module"}],"about":[{"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/types\/module"}],"author":[{"embeddable":true,"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/users\/104"}],"wp:attachment":[{"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/media?parent=2197"}],"wp:term":[{"taxonomy":"module\_category","embeddable":true,"href":"https:\/\/teaching.scss.tcd.ie\/wp-json\/wp\/v2\/module\_category?post=2197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}](https://teaching.scss.tcd.ie/wp-json/wp/v2/module/\"https:\/\/teaching.scss.tcd.ie\/module\/stu34502-applied-linear-statistical-methods-ii\/\" "\\"STU34502")](https://teaching.scss.tcd.ie/wp-json/wp/v2/module/\"https:\/\/tcd.blackboard.com\/webapps\/login\/\")******** |** | | | | |** |** | | |** |** | | | | | | | | | | | | |** |** |** |** |** |** | |** | |** | |**](https://teaching.scss.tcd.ie/wp-json/wp/v2/module/\"#_ftn1\")** | |** | |** |**