ST419 2008/2009 Computational Statistics

0. Introductory MaterialST419 2008 / 2009 Computational StatisticsLecturer: Erik Baurdoux1B604 Assistant: Neil BathiaCourse Aims and ObjectiveThis course teaches the fundamental computing skills required by practicing statisticians. Wefocus on analysis of data using a computer and simulation as a tool to improve understandingof statistical models. The software package R is taught throughout. On successful completionof the course you will be a competent R user with skills that adapt readily to other statisticalsoftware packages. A small subset of the things you will be able to do are listed below: generate detailed descriptive analyses of data sets (both numbers and graphics), fit statistical models and interpret the output from model fitting, design and perform simulation experiments to explore the properties of Statistics , write your own R functions to simplify commonly performed tasks or to implement novelstatistical AdministrationPrerequisitesThis is intended primarily for MSc Statistics , MSc Social Research Methods ( Statistics ) and MScOperational Research students.

0. Introductory Material ST419 2008/2009 Computational Statistics Lecturer: Erik Baurdoux1 B604 Assistant: Neil Bathia Course Aims and Objective This course teaches the fundamental computing skills required by practicing statisticians.

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