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Mathematical Methods of Statistics (PMS-9)
Abstract
In this classic of statistical mathematical theory, Harald Cramér 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 Cramér'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.
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Cited by
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Metadata
- Authors
- Cramér, H.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 1946-12-31
- OpenAlex
- W2524449277
- Cited by
- 1,330
- References
- 0
- FWCI
- 12.21
- Type
- book
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
