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the theory of linear models and multivariate analysis /
"This comprehensive presentation of the basic concepts of probability theory examines both classical and modern methods. The treatment emphasizes the relationship between probability theory and mathematical analysis, and it stresses applications to statistics as well as to analysis. Topics incl...
|a Arnold, Steven F.,
|d 1944-2014
|e autor
|9 19937
245
1
4
|a the theory of linear models and multivariate analysis /
|c Steven F. Arnold.
260
|a New York, N.Y. :
|b J. Wiley,
|c c1981
300
|a xv, 475 p.
490
0
|a Wiley series in probability and mathematical statistics
504
|a Bibliografía: p. 464-469.
520
3
|a "This comprehensive presentation of the basic concepts of probability theory examines both classical and modern methods. The treatment emphasizes the relationship between probability theory and mathematical analysis, and it stresses applications to statistics as well as to analysis. Topics include: The laws of large numbers Distribution and characteristic functions The central limit problem Dependence Random variables taking values in a normed linear space Each chapter features worked examples in addition to problems, and bibliographical references to supplementary reading material enhance the text. For advanced undergraduates and graduate students in mathematics".
