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Probability Theory
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.
• 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.
Probability Theory by R.G.Laha and V.K. Rohatgi was first published by John WIley and Sons, Inc. New York in 1979. The Dover edition is a reprint of the 1979 edition with no changes or new material.Â
Random Vector; Borel-Cantelli Lemma; Kolmogorov's Inequality; Inversion Theorem; Uniqueness Theorem; Continuity Theorem; Characteristic Function; Convolution Semigroup; General Decomposition Theorem; Central limit; Martingale; Minlos-Sazonov Theorem$29.95
Probability Theory—
$29.95
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Description
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.
• 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.
Probability Theory by R.G.Laha and V.K. Rohatgi was first published by John WIley and Sons, Inc. New York in 1979. The Dover edition is a reprint of the 1979 edition with no changes or new material.Â
Random Vector; Borel-Cantelli Lemma; Kolmogorov's Inequality; Inversion Theorem; Uniqueness Theorem; Continuity Theorem; Characteristic Function; Convolution Semigroup; General Decomposition Theorem; Central limit; Martingale; Minlos-Sazonov Theorem
