Unbiased Estimators and Their Applications: Volume 1: Univariate Case (Mathematics and Its Applications, 263),Used

Unbiased Estimators and Their Applications: Volume 1: Univariate Case (Mathematics and Its Applications, 263),Used

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Statistical inferential methods are widely used in the study of various physical, biological, social, and other phenomena. Parametric estimation is one such method. Although there are many books which consider problems of statistical point estimation, this volume is the first to be devoted solely to the problem of unbiased estimation. It contains three chapters dealing, respectively, with the theory of point statistical estimation, techniques for constructing unbiased estimators, and applications of unbiased estimation theory. These chapters are followed by a comprehensive appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameters for univariate distributions. About one thousand minimum variance unbiased estimators are listed. The volume also contains numerous examples and exercises.This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for graduate students.

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Frequently Asked Questions

  • Q: What is the main focus of 'Unbiased Estimators and Their Applications: Volume 1'? A: The book primarily focuses on the theory and applications of unbiased estimation in statistical inference, particularly for univariate distributions.
  • Q: Who is the author of this book? A: The book is authored by V.G. Voinov.
  • Q: How many pages does this book contain? A: The book contains a total of 536 pages.
  • Q: What type of binding does this book have? A: This book is available in hardcover binding.
  • Q: Is this book suitable for graduate students? A: Yes, it is recommended as a supplementary text for graduate students studying statistics.
  • Q: Does the book include practical examples or exercises? A: Yes, the book contains numerous examples and exercises to illustrate the concepts discussed.
  • Q: When was this book published? A: The book was published on August 31, 1993.
  • Q: What condition is the book in? A: The book is listed as 'New'.
  • Q: Are there any appendices included in the book? A: Yes, the book includes a comprehensive appendix that classifies and lists known results related to unbiased estimators.
  • Q: What is the significance of unbiased estimators in statistics? A: Unbiased estimators are crucial because they provide estimates that are expected to equal the true parameter value, enhancing the reliability of statistical analyses.