Essential Statistical Inference

Theory and Methods

Authors:

ISBN: 978-1-4614-4817-4 (Print) 978-1-4614-4818-1 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvii

  2. Introductory Material

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-23

      Roles of Modeling in Statistical Inference

  3. Likelihood-Based Methods

    1. Front Matter

      Pages 25-25

    2. No Access

      Book Chapter

      Pages 27-124

      Likelihood Construction and Estimation

    3. No Access

      Book Chapter

      Pages 125-161

      Likelihood-Based Tests and Confidence Regions

    4. No Access

      Book Chapter

      Pages 163-203

      Bayesian Inference

  4. Large Sample Approximations in Statistics

    1. Front Matter

      Pages 205-205

    2. No Access

      Book Chapter

      Pages 207-274

      Large Sample Theory: The Basics

    3. No Access

      Book Chapter

      Pages 275-293

      Large Sample Results for Likelihood-Based Methods

  5. Methods for Misspecified Likelihoods and Partially Specified Models

    1. Front Matter

      Pages 295-295

    2. No Access

      Book Chapter

      Pages 297-337

      M-Estimation (Estimating Equations)

    3. No Access

      Book Chapter

      Pages 339-359

      Hypothesis Tests under Misspecification and Relaxed Assumptions

  6. Computation-Based Methods

    1. Front Matter

      Pages 361-361

    2. No Access

      Book Chapter

      Pages 363-383

      Monte Carlo Simulation Studies

    3. No Access

      Book Chapter

      Pages 385-411

      Jackknife

    4. No Access

      Book Chapter

      Pages 413-448

      Bootstrap

    5. No Access

      Book Chapter

      Pages 449-530

      Permutation and Rank Tests

  7. Back Matter

    Pages 531-568