An introduction to Probability and Statistical Inference(2판)
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출판사 리뷰
출판사 리뷰
목차
목차
preface
CHAPTER1 Some motivating examples and some fundamental concepts
CHAPTER2 The concept of probability and basic results
CHAPTER3 Numerical characteristics of a random variable, some special random variables
CHAPTER4 Joint and conditional p.d.f.'s. conditional expectation and variance, moment generating function, covariance, and correlation coefficient
CHAPTER5 Independence of random variables and some applications
CHAPTER6 Transformaion of random variables
CHAPTER7 Some modes of convergence of random variables, applications
CHAPTER8 An overview of statistical inference
CHAPTER9 Point estimation
CHAPTER10 Confidence intervals and confkdence regions
CHAPTER11 Testing hypotheses
CHAPTER12 More about testing hypotheses
CHAPTER13 A simple linear regression model
CHAPTER14 Two models of analysis of variance
CHAPTER15 Some topics in nonparametric inference
Tables
Some notation and abbreviations
Answers to even-numbered exercises
Index
CHAPTER1 Some motivating examples and some fundamental concepts
CHAPTER2 The concept of probability and basic results
CHAPTER3 Numerical characteristics of a random variable, some special random variables
CHAPTER4 Joint and conditional p.d.f.'s. conditional expectation and variance, moment generating function, covariance, and correlation coefficient
CHAPTER5 Independence of random variables and some applications
CHAPTER6 Transformaion of random variables
CHAPTER7 Some modes of convergence of random variables, applications
CHAPTER8 An overview of statistical inference
CHAPTER9 Point estimation
CHAPTER10 Confidence intervals and confkdence regions
CHAPTER11 Testing hypotheses
CHAPTER12 More about testing hypotheses
CHAPTER13 A simple linear regression model
CHAPTER14 Two models of analysis of variance
CHAPTER15 Some topics in nonparametric inference
Tables
Some notation and abbreviations
Answers to even-numbered exercises
Index
저자
저자
George G. Roussas
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