Introductory Statistical Inference with the Likelihood Function

Charles A. Rohde ()
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Charles A. Rohde: Johns Hopkins University, Bloomberg School of Health

in Springer Books from Springer

Date: 2014
Edition: 2014
ISBN: 978-3-319-10461-4
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Chapters in this book:

Ch Chapter 1 Introduction

Charles A. Rohde

Ch Chapter 10 Decision Theory

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Ch Chapter 11 Sufficiency

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Ch Chapter 12 Conditionality

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Ch Chapter 13 Statistical Principles

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Ch Chapter 14 Bayesian Inference

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Ch Chapter 15 Bayesian Statistics: Computation

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Ch Chapter 16 Bayesian Inference: Miscellaneous

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Ch Chapter 17 Pure Likelihood Methods

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Ch Chapter 18 Pure Likelihood Methods and Nuisance Parameters

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Ch Chapter 19 Other Inference Methods and Concepts

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Ch Chapter 2 The Statistical Approach

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Ch Chapter 20 Finite Population Sampling

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Ch Chapter 21 Appendix: Probability and Mathematical Concepts

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Ch Chapter 3 Estimation

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Ch Chapter 4 Interval Estimation

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Ch Chapter 5 Hypothesis Testing

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Ch Chapter 6 Standard Practice of Statistics

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Ch Chapter 7 Maximum Likelihood: Basic Results

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Ch Chapter 8 Linear Models

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Ch Chapter 9 Other Estimation Methods

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DOI: 10.1007/978-3-319-10461-4

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