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STA2004F Exam Bundle

A detailed and understandable summary of the most important concepts for 2004F. High quality pdf's for easy printing. Perfect for exam revision, and great for cramming. I used these notes to pass the course and get my actuarial exemption. For the topic's not covered in these notes, simply do tone...

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STA2004: Order Statistics Summary

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A detailed and understandable summary of the entire order statistics chapter. Contains easy proofs for largest, smallest and r-th order statistic. Perfect for exams

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STA2004F: Estimator Bias Summary

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A detailed and understandable summary of the entire estimator bias chapter. Contains all important formula you need to memorise, explanations and examples of difficult formula like taylor expansion and delta method. Perfect for exams

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STA2004F: Fisher Information and Delta Method Summary

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A detailed and understandable summary of the delta method and fisher information. Contains all important information on the fisher information, transformation of parameters, invariance property of MLE's, and the delta method (with examples). Perfect for exam revision.

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STA2004F: Distribution of Sample Statistics Summary

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A detailed and understandable summary of the distribution of sample statistics (chapter 5). Contains all important formula, tricks for scaling normals, how to manipulate formula and RV transformations. Perfect for exam revision.

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Summary STA2004F: Roa-Blackwell Worked Examples

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Worked examples of past paper Roa-Blackwell examples Hope this helps you gain some understanding :)

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Summary STA2004: CI and Hypothesis testing worked examples

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A detailed and understandable worked examples for hypothesis testing and confidence intervals. Contains important tricks to solve these questions. Detailed explanations. Perfect for exam revision.

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Summary STA2004F: Joint Probability Worked Examples

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Worked examples of joint probability density questions. Very useful when doing Section A off the exam.

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STA2004F: Conditional Expectation Summary

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A detailed and understandable summary conditional expectation. Contains all important information such as derivations, formula, compound distributions (continuous distribution conditioned on a discrete distribution and visa versa) and conditioning. Perfect for exam revision.

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