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A course in econometrics / Arthur S. Goldberger.

By: Language: İngilizce Publisher: Cambridge, Mass. : Harvard University Press, 1991Description: xvii, 405 p. : ill. ; 25 cmISBN:
  • 0674175441 (alk. paper)
  • 9780674175440 (alk. paper)
Subject(s): LOC classification:
  • HB139 .G65 1991
Contents:
I.Empirical relations -- II.Univariate probability distributions -- III.Expectations: Univariate case -- IV.Bivariate probability distributions -- V.Expectations: Bivariate case -- VI.Independence in a bivariate distribution -- VII.Normal distributions -- VIII.Sampling distributions: Univariate case -- IX.Asymptotic distribution theory -- X.Sampling distributions: Brivariate case -- XI.Paramter estimation -- XII.Advanced estimation theory -- XIII.Estimating a population relation -- XIV.Multiple regression -- XV.Classical regression -- XVI.Classical regression: Interpretation and application -- XVII.Regression algebra -- XVIII.Multivariate normal distribution -- XIX.Classical normal regression -- XX.CNR Model: Hypothesis testing -- XXI.CNR Model: Inference with q2 unknown -- XXII.Issues in hypothesis testing -- XXIII.Multicollinearity -- XXIV.Regression strategies -- XXV.Regression with X Random -- XXVI. Time series -- XXVII.Generalized classical regression -- XXVIII.Heteroskedasticity and
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Item type Current library Home library Collection Call number Vol info Copy number Status Date due Barcode
Book Book Merkez Kütüphane Genel Koleksiyon / Main Collection Merkez Kütüphane Genel Koleksiyon HB139 .G65 1991 (Browse shelf(Opens below)) 1 1 Available 0040634

I.Empirical relations -- II.Univariate probability distributions -- III.Expectations: Univariate case -- IV.Bivariate probability distributions -- V.Expectations: Bivariate case -- VI.Independence in a bivariate distribution -- VII.Normal distributions -- VIII.Sampling distributions: Univariate case -- IX.Asymptotic distribution theory -- X.Sampling distributions: Brivariate case -- XI.Paramter estimation -- XII.Advanced estimation theory -- XIII.Estimating a population relation -- XIV.Multiple regression -- XV.Classical regression -- XVI.Classical regression: Interpretation and application -- XVII.Regression algebra -- XVIII.Multivariate normal distribution -- XIX.Classical normal regression -- XX.CNR Model: Hypothesis testing -- XXI.CNR Model: Inference with q2 unknown -- XXII.Issues in hypothesis testing -- XXIII.Multicollinearity -- XXIV.Regression strategies -- XXV.Regression with X Random -- XXVI. Time series -- XXVII.Generalized classical regression -- XXVIII.Heteroskedasticity and

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