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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 1927-1999

EBSCOhost 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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