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Mathematical Methods of Statistics (PMS-9), Volume 9 / Harald Cramér.
De Gruyter Princeton University Press eBook Package Archive 1927-1999 Available online
De Gruyter Princeton University Press eBook Package Archive 1927-1999EBSCOhost eBook Community College Collection Available online
EBSCOhost eBook Community College Collection- Format:
- Book
- Author/Creator:
- Cramér, Harald, author.
- Series:
- Princeton landmarks in mathematics and physics.
- Princeton Mathematical Series ; 9
- Language:
- English
- Subjects (All):
- Mathematical statistics.
- Physical Description:
- 1 online resource (593 p.)
- Place of Publication:
- Princeton, NJ : Princeton University Press, [2016]
- Language Note:
- English
- Summary:
- 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.
- Contents:
- Frontmatter
- Preface
- Table of Contents
- First Part. Mathematical Introduction
- Chapters 1-3. Sets of Points
- Chapters 4-7. Theory of Measure and Integration in R1.
- Chapters 8-9. Theory of Measure and integration in Rn
- Chapters 10-12. Various Questions
- Second Part. Random Variables and Probability Distributions
- Chapters 13-14. Foundations
- Chapters 15-20. Variables and distributions in R1
- Third Part. Statistical Interference
- Chapters 25-26. Generalities
- Chapters 27-29. Sampling Distributions
- Chapters 30-31. Test of Significance, I.
- Chapters 32-34. Theory of Estimation
- Chapters 35-37. Test of Significance, II.
- Tables 1-2. The Normal Distribution
- Table 3. The χ2 -Distribution
- Table 4. The t-Distribution
- List of References
- Index
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jul 2019)
- ISBN:
- 9781400883868
- 1400883865
- OCLC:
- 950463477
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