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An introduction to probability and statistical inference / 2nd ed

An introduction to probability and statistical inference / 2nd ed

자료유형
단행본
개인저자
Roussas, George G.
서명 / 저자사항
An introduction to probability and statistical inference / George G. Roussas.
판사항
2nd ed.
발행사항
Amsterdam ;   Boston :   Elsevier, Academic Press,   c2015.  
형태사항
xiv, 606 p. : ill. ; 25 cm.
기타형태 저록
Print version:   Roussas, George G.   An introduction to probability and statistical inference.   2nd ed.   9780128004371   (211009) 000045949413  
ISBN
9780128001141
일반주기
Print version: Roussas, George G. An introduction to probability and statistical inference. 2nd ed. 9780128004371
내용주기
Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some topics in nonparametric inference.
서지주기
Includes bibliographical references and index.
일반주제명
Probabilities --Textbooks. Mathematical statistics.
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100 1 ▼a Roussas, George G.
245 1 3 ▼a An introduction to probability and statistical inference / ▼c George G. Roussas.
250 ▼a 2nd ed.
260 1 ▼a Amsterdam ; ▼a Boston : ▼b Elsevier, Academic Press, ▼c c2015.
300 ▼a xiv, 606 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some topics in nonparametric inference.
650 0 ▼a Probabilities ▼v Textbooks.
650 0 ▼a Mathematical statistics.
776 0 8 ▼a Print version: ▼a Roussas, George G. ▼t An introduction to probability and statistical inference. ▼b 2nd ed. ▼z 9780128004371 ▼w (211009) 000045949413
945 ▼a KLPA

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목차

Section	Section Description	Page Number
Chapter 1	Some Motivating Examples and Some Fundamental Concepts	
Chapter 2	The Concept of Probability and Some Basic Results	
Chapter 3	Numerical Characteristics of a Random Variable, Some Special Random Variables	
Chapter 4	Joint and Conditional p.d.f.''s, Conditional Expectation and Variance, Moment Generating Function, Covariance and Correlation Coefficient	
Chapter 5	Independence of Random Variables and Some Applications	
Chapter 6	Transformation of Random Variables	
Chapter 7	Some Modes of Convergence of Random Variables, Applications	
Chapter 8	An Overview of Statistical Inference	
Chapter 9	Point Estimation	
Chapter 10	Confidence Intervals and Confidence Regions	
Chapter 11	Testing Hypotheses	
Chapter 12	More About Testing Hypotheses	
Chapter 13	A Simple Linear Regression Model	
Chapter 14	Two Analysis of Variance Models	
Chapter 15	Some Topics in Nonparametric Inference

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