WJWJ Maths
Statistical Inference
  • PROPERTIES OF STATISTICS
  • Introduction
  • Unbiasedness and Mean Square Error
  • Sufficiency
  • Minimal Sufficiency
  • Completeness
  • The Exponential Family
  • Ancillary Statistics
  • MAXIMUM LIKELIHOOD ESTIMATION
  • Introduction
  • Properties of the Score and Information
  • The Information Inequality
  • Limiting Distributions (Review)
  • Large Sample properties of \(ML\) estimators
  • OTHER ESTIMATION CRITERIA
  • Best Linear Unbiased Estimators
  • Equivariant Estimators
  • Estimating Equations
  • Bayes Estimation
  • HYPOTHESIS TESTS
  • Introduction
  • Uniformly Most Powerful Tests
  • Locally Most Powerful tests
  • Likelihood ratio tests
  • Score and Wald Tests
  • REFERENCES

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Chapter 1
PROPERTIES OF STATISTICS

1.1 Introduction
1.2 Unbiasedness and Mean Square Error
1.2.1 Unbiased Estimators
1.2.2 Uniformly Minimum Variance Unbiased Estimation
1.3 Sufficiency
1.3.1 The Factorisation Criterion
1.4 Minimal Sufficiency
1.5 Completeness
1.5.1 Completeness, Sufficiency and Minimality
1.5.2 Conditioning: Total Expectation and Total Variance
1.5.3 Minimum Variance Unbiased Estimation
1.5.4 The Lehmann–Scheffé Theorem
1.6 The Exponential Family
1.6.1 The Canonical Form
1.6.2 Regular Exponential Families
1.6.3 Completeness in the Exponential Family
1.7 Ancillary Statistics

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