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An introduction to probability and statistical inference / George G. Roussas.

By: Material type: TextTextPublisher: Amsterdam ; Boston : Elsevier, Academic Press, [2015]Edition: Second editionDescription: xiv, 606 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128001141
Subject(s): DDC classification:
  • 519.2 23
LOC classification:
  • QA273 .R848 2015
Online resources:
Contents:
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.
Item type: E-Books List(s) this item appears in: IUT Purchased E-Books from Elsevier
Holdings
Item type Current library Shelving location Call number URL Status Date due Barcode Item holds
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Total holds: 0

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.


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