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Introduction to the theory of statistics / Alexander M. Mood, Franklin A. Graybill [and] Duane C. Boes.

By: Contributor(s): Material type: TextTextSeries: McGraw-Hill series in probability and statisticsPublication details: Islamabad : NBF,Edition: 3rd edDescription: xvi, 564 p. illus. 24 cmSubject(s): DDC classification:
  • 519.5 M8171
Contents:
Probability; Random variables, distribution functions and expectation; Special parametric families of univariate distributions; Joint and conditional distributions, stochastic independence, more expectation ; distributions of functions of random variables; sampling and sampling distributions; parametric point estimation; parametric interval estimation; tests of hypotheses; linear models; nonparametric method
List(s) this item appears in: Mathematics
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Item type Current library Call number Status Date due Barcode
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T12498
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T293D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T292D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T294D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T869D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T229D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T1040D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T1039D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T1041D
Books Books UE-Central Library 519.5 M8171 (Browse shelf(Opens below)) Available T228D

Bibliography: p. [544]-547.

Probability;
Random variables, distribution functions and expectation;
Special parametric families of univariate distributions;
Joint and conditional distributions, stochastic independence, more expectation ;
distributions of functions of random variables;
sampling and sampling distributions;
parametric point estimation;
parametric interval estimation;
tests of hypotheses;
linear models;
nonparametric method


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