Front Cover; Dedication; Contents; Preface; About the author; 1. Probability and random samples; 2. Estimation concepts; 3. Likelihood; 4. Estimation methods; 5. Hypothesis testing concepts; 6. Hypothesis testing methods; 7. Bayesian Inference; 8. Further inference topics; Appendices; Bibliography
Summary
Probability and Random Samples Statistical inference Probability Random variables Probability distributions Independence Random samples Sampling bias Sampling variation Large samples Extended example Estimation Concepts Statistical models Parametric models Statistics and data reduction Estimators and estimates Properties of estimators Large sample properties Interval estimation Coverage probability Towards hypothesis testing Extended example Likelihood Statistical likelihood Likelihood function Log-likelihood function Sufficient statistics and data reduction Multiple parameters Nuisance parame
