Department of Mathematical Sciences, Unit Catalogue 2011/12 

Credits:  6 
Level:  Masters UG & PG (FHEQ level 7) 
Period: 
Semester 1 
Assessment:  EX 100% 
Supplementary Assessment:  MA40092 Mandatory Extra Work (where allowed by programme regulations) 
Requisites:  Before taking this unit you must take MA20226 
Description:  Aims: To develop a formal basis for methods of statistical inference including criteria for the comparison of procedures. To give an in depth description of the asymptotic theory of maximum likelihood methods and hypothesis testing. Learning Outcomes: On completing the course, students should be able to: * calculate properties of estimates and hypothesis tests; * derive efficient estimates and tests for a broad range of problems, including applications to a variety of standard distributions. Skills: Mathematical and statistical. Content: Revision of standard distributions: Bernoulli, binomial, Poisson, exponential, gamma and normal, and their interrelationships. Sufficiency and Exponential families. Point estimation: Bias and variance considerations, mean squared error. RaoBlackwell theorem. CramerRao lower bound and efficiency. Unbiased minimum variance estimators and a direct appreciation of efficiency through some examples. Asymptotic theory for maximum likelihood estimators. Hypothesis testing: Hypothesis testing, review of the NeymanPearson lemma and maximisation of power. Maximum likelihood ratio tests, asymptotic theory. Compound alternative hypotheses, uniformly most powerful tests. Compound null hypotheses, monotone likelihood ratio property, uniformly most powerful unbiased tests. Nuisance parameters, generalised likelihood ratio tests. 
Programme availability: 
MA40092 is Optional on the following programmes:Programmes in Natural Sciences
