Join BookitisSave favorites, build lists, and follow creators.

Mathematical Methods of Statistics

Work detail

Bookitis Pick
Cover for Mathematical Methods of Statistics
MM
Image source: Open Library
Harald CramérHarald CramerHarald CramérHarald CramerHarald Cramér3 editions

In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramer's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance. --back cover

Overview

Shared work-level identity and catalog context.

5 credited authorsSearch language english

Bookitis keeps work pages focused on the shared book identity and the editions that actually belong to it. Unrelated books should not appear here as primary content.

Contributors

People credited with this work in the active catalog.

  • Harald Cramér

    Author profile in the active Bookitis catalog

    Open Author
  • Harald Cramer

    Author profile in the active Bookitis catalog

    Open Author
  • Harald Cramér

    Author profile in the active Bookitis catalog

    Open Author
  • Harald Cramer

    Author profile in the active Bookitis catalog

    Open Author
  • Harald Cramér

    Author profile in the active Bookitis catalog

    Open Author

Editions

Publication-specific versions linked to this work only.