Introductory Statistical Inference
eBook - PDF

Introductory Statistical Inference

  1. 289 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introductory Statistical Inference

About this book

Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels.

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Information

Publisher
Chapman and Hall/CRC
Year
2006
Print ISBN
9781574446135
eBook ISBN
9781420017403
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Preface
  3. Contents
  4. Chapter 1: Probability and Distributions
  5. Chapter 2: Moments and Generating Funtions
  6. Chapter 3: Multivariate Random Variables
  7. Chapter 4: Sampling Distribution
  8. Chapter 5: Notions of Convergence
  9. Chapter 6: Sufficiency, Completeness, and Ancillarity
  10. Chapter 7: Point Estimation
  11. Chapter 8: Tests of Hypotheses
  12. Chapter 9: Confidence Intervals
  13. Chapter 10: Bayesian Methods
  14. Chapter 11: Likelihood Ratoi and Other Tests
  15. Chapter 12: Large-Sample Methods
  16. Chapter 13: Abbreviations, Historical Notes, and Tables
  17. References
  18. Answers: Selected Exercises
  19. Back Cover

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Yes, you can access Introductory Statistical Inference by Nitis Mukhopadhyay in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.