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- W2023187852 abstract "Australian Economic PapersVolume 18, Issue 33 p. 351-361 HETEROSCEDASTICITY: SAMPLING EXPERIMENTS ON WEIGHTED LEAST SQUARES USING MINQU ESTIMATES OF VARIANCES AND OTHER VARIANCE ESTIMATES* LARRY HERSH, LARRY HERSH Springs Mills, New York and International Monetary FundSearch for more papers by this authorV. SUNDARARAJAN, V. SUNDARARAJAN Springs Mills, New York and International Monetary FundSearch for more papers by this author LARRY HERSH, LARRY HERSH Springs Mills, New York and International Monetary FundSearch for more papers by this authorV. SUNDARARAJAN, V. SUNDARARAJAN Springs Mills, New York and International Monetary FundSearch for more papers by this author First published: December 1979 https://doi.org/10.1111/j.1467-8454.1979.tb00670.xCitations: 1 *We wish to acknowledge the financial support from National Science Foundation Institutional Grant to New York University. AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES 1 A. C. Aitken, “On Least Squares and Linear Combination of Observations”, Proceedings of the Royal Society, Edinburgh, A55 (1935). 2 N. Draper & H. Smith, Applied Regression Analysis ( New York ; John Wiley & Sons, Inc., 1966). 3 H. Gjelser, “A New Test for Heteroscedasticity”, Journal of the American Statistical Association, vol. 64, 1969. 4 S. M. Goldfeld and R. E. Quandt, “Some Tests for Homoscedasticity”, Journal of the American Statistical Association, vol. 60, 1965. 5 F. A. Graybill, An Introduction to Linear Statistical Models, volume. ( New York : McGraw-Hill Book Company, Inc., 1961). 6 D. Hildreth and J. P. Houck, “Some Estimators for a Linear Model with Random Coefficients”, Journal of the American Statistical Association, vol. 63, 1968. 7 A. Jacquez and Marija Norusis, “Sampling Experiments on the Estimation of Parameters in Heteroscedastic Linear Regression”, Biometrics, vol. 29, 1973. 8 A. Jacquez, J. Mather, and R. Crawford, “Linear Regression with Non-Constant, Unknown Error Variances: Sampling Experiments with Least Squares, Weighted Least Squares and Maximum Likelihood Estimators”, Biometrics, vol. 24, 1968. 9 Mallela, Parthasaradhi, “Necessary and Sufficient Conditions for Minqu Estimation of Heteroscedastic Variances in Linear Models”, Journal of the American Statistical Association, vol. 67, 1972. 10 R. L. Plackett, “Some Theorems in Least Squares”, Biometrika, vol. 37, 1950. 11 S. J. Prais, and H. S. Houthakker, The Analysis of Family Budgets (Cambridge University Press, 1955). 12 J. B. Ramsey, “ Tests for Specification Errors in Classical Linear Least Squares Regression Analysis”, Econometrics Workshop Paper No. 6601, Michigan State University. 13 C. R. Rao, Linear Statistical Inference and its Applications ( New York : John Wiley & Sons, Inc., 1965). 14 C. R. Rao, “Estimation of Heteroscedastic Variances in Linear Models”, Journal of the American Statistical Association, vol. 65, 1970. 15 J. N. K. Rao and K. Subramaniyam, “Combining Independent Estimators and Estimation in Linear Regression with Unequal Variances”, Biometrics, vol. 27, 1971. 16 J. N. K. Rao, “On the Estimation of Heteroscedastic Variances”, Biometrics, vol. 39, 1973. 17 Victor Chew, “Covariance Matrix Estimation in Linear Models”, Journal of the American Statistical Association, vol. 65, 1970. Citing Literature Volume18, Issue33December 1979Pages 351-361 ReferencesRelatedInformation" @default.
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