Modern Concepts and Theorems of Mathematical Statistics

  • Edward B. Manoukian

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Fundamentals of Mathematical Statistics

    1. Front Matter
      Pages 1-1
    2. Edward B. Manoukian
      Pages 75-98
  3. Statistical Distributions

    1. Front Matter
      Pages 99-99
    2. Edward B. Manoukian
      Pages 101-131
    3. Edward B. Manoukian
      Pages 132-144
  4. Back Matter
    Pages 145-149

About this book


With the rapid progress and development of mathematical statistical methods, it is becoming more and more important for the student, the in­ structor, and the researcher in this field to have at their disposal a quick, comprehensive, and compact reference source on a very wide range of the field of modern mathematical statistics. This book is an attempt to fulfill this need and is encyclopedic in nature. It is a useful reference for almost every learner involved with mathematical statistics at any level, and may supple­ ment any textbook on the subject. As the primary audience of this book, we have in mind the beginning busy graduate student who finds it difficult to master basic modern concepts by an examination of a limited number of existing textbooks. To make the book more accessible to a wide range of readers I have kept the mathematical language at a level suitable for those who have had only an introductory undergraduate course on probability and statistics, and basic courses in calculus and linear algebra. No sacrifice, how­ ever, is made to dispense with rigor. In stating theorems I have not always done so under the weakest possible conditions. This allows the reader to readily verify if such conditions are indeed satisfied in most applications given in modern graduate courses without being lost in extra unnecessary mathematical intricacies. The book is not a mere dictionary of mathematical statistical terms.


Estimator Likelihood Median Random variable Statistics Theorems Variance best fit correlation mathematical statistics

Authors and affiliations

  • Edward B. Manoukian
    • 1
  1. 1.Department of National DefenceRoyal Military College of CanadaKingstonCanada

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1986
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9332-3
  • Online ISBN 978-1-4612-4856-9
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site