Introuction to Probability
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출판사 리뷰
출판사 리뷰
목차
목차
Chapter 01 some motivating examples
Chapter 02 some fundamental concepts
Chapter 03 the oncept of probaility and basic results
Chapter 04 conditonal probability and indepenaence
Chapter 05 numerical characteristics of random variable
Chapter 06 some special distributions
Chapter 07 joint probabillity density function of two random variables and related quantities
Chapter 08 joint moment-generationg fumction covariance and
correlation coefficient of two random variables
Chapter 09 some generalizations to k random variables and three multivariate distributions
Chapter 10 independence of random variables and some applications
Chapter 11 transformation of random variables
Chapter 12 two medes of convergence the weak law of large numbers the central limit theorem and futher results
Chapter 13 an overview of statical inference
Chapter 02 some fundamental concepts
Chapter 03 the oncept of probaility and basic results
Chapter 04 conditonal probability and indepenaence
Chapter 05 numerical characteristics of random variable
Chapter 06 some special distributions
Chapter 07 joint probabillity density function of two random variables and related quantities
Chapter 08 joint moment-generationg fumction covariance and
correlation coefficient of two random variables
Chapter 09 some generalizations to k random variables and three multivariate distributions
Chapter 10 independence of random variables and some applications
Chapter 11 transformation of random variables
Chapter 12 two medes of convergence the weak law of large numbers the central limit theorem and futher results
Chapter 13 an overview of statical inference
저자
저자
George G. Roussas
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