Sequential Statistical Procedures
eBook - PDF

Sequential Statistical Procedures

  1. 584 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Sequential Statistical Procedures

Book details
Table of contents
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About This Book

Probability and Mathematical Statistics, Volume 26: Sequential Statistical Procedures provides information pertinent to the sequential procedures that are concerned with statistical analysis of data. This book discusses the fundamental aspects of sequential estimation. Organized into four chapters, this volume begins with an overview of the essential feature of sequential procedure. This text then examines the sequential probability ratio test procedure and provides a method of constructing a most powerful test for a simple hypothesis versus simple alternative-testing problem. Other chapters consider the problem of testing a composite hypothesis against a composite alternative. This book discusses as well the theory of sequential tests that is appropriate for distinguishing between two simple or composite hypotheses. The final chapter deals with the theory of sequential estimation. This book is a valuable resource for graduate students, research workers, and users of sequential procedures.

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Yes, you can access Sequential Statistical Procedures by Z. Govindarajulu, Z. W. Birnbaum,E. Lukacs in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483263328
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Sequential Statistical Procedures
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Notation
  8. CHAPTER 1. Introduction and Certain Double Sampling Procedures
  9. CHAPTER 2. The Sequential Probability Ratio Test
  10. CHAPTER 3. Sequential Tests for Composite Hypotheses
  11. CHAPTER 4. Sequential Estimation
  12. APPENDIX 1: Solution to Wald's liquation
  13. APPENDIX 2: Differentiation of an Expectation
  14. APPENDIX 3: On the Moments of a Random Variable
  15. APPENDIX 4: The Normal Diffusion Process
  16. APPENDIX 5: Large Sample Properties of Maximum Likelihood estimates
  17. APPENDIX 6: A Table of Standard Distributions
  18. APPENDIX 7: A Useful Convergence Theorem of Cramer
  19. APPENDIX 8: Backward Induction
  20. References and Author Index
  21. Subject Index
  22. Probability and Mathematical Statistics