MTH5131 - Actuarial Statistics - 2023/24
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This module builds on the statistical theory of the Level 5 modules Probability and Statistics II and Statistical Modelling I. It begins with estimation of population parameters and a study of exploratory data analysis, in particular measures of correlation. It then introduces concepts from Bayesian Statistics and uses them to calculate Bayesian estimators. Finally, we study topics on generalised linear models (GLMs), including that of fitting a GLM to a dataset and interpreting its output.
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This coursework is worth 20% of your final mark. You must turn in an R script with your answers to get credit for your work. Do NOT turn in a PDF file! ANY SCRIPTS RECEIVED AFTER THE DEADLINE OF 9:00AM ON MONDAY 18 MARCH WILL NOT BE MARKED.
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TURN IN AN R SCRIPT. DO NOT TURN IN A PDF FILE!
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This coursework is worth 20% of your final mark. You must turn in an R script with your answers to get credit for your work. Do NOT turn in a PDF file! ANY SCRIPTS RECEIVED AFTER THE DEADLINE OF 9:00AM ON MONDAY 15 APRIL WILL NOT BE MARKED.
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This is a revision video for the exam, where I talk about this year's exam and go over last year's exam and solutions.
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