Official NUC CCMAS syllabus

STA 321 — Statistical Inference III

STA department course · Nigerian universities

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What you'll be able to do (official learning outcomes)

outline the properties of a good estimator consistency unbiasedness, efficiency, minimum variance and sufficiency
describe the methods of estimation; using maximum likelihood, least squares and method of moments; and
determine confidence intervals for simple and composite hypotheses to compute the likelihood ratio test as well as inferences about means and variance

Course contents

Criteria of estimating consistency unbiasedness, efficiency, minimum variance and sufficiency. Methods of estimation. Maximum likelihood, least squares and method of moments. Confidence intervals. Simple and composite hypotheses. Likelihood ratio test. Inferences about means and variance.

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study STA 321.

STA 321 — Statistical Inference III

What you'll be able to do (official learning outcomes)

Course contents

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