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Seemingly unrelated regression equations models : estimation and inference
Srivastava, Virendra K.; Giles, David E. A.; Giles, David E. - 1987
Persistent link: https://www.econbiz.de/10000092042
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Efficiency of estimators in regression model with AR(1) errors
Magee, Lonnie; Ullah, Aman; Srivastava, Virendra K. - 1982
Persistent link: https://www.econbiz.de/10000922051
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Weighted modified first order regression procedures for estimation in linear models with missing X-observations
Toutenburg, Helge; Fieger, Andreas; Srivastava, Vijay … - In: Statistical papers 40 (1999) 3, pp. 351-361
Persistent link: https://www.econbiz.de/10001401671
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Pitman nearness comparisons of Stein-type estimators for regression coefficients in replicated experiments
Rao, Calyampudi Radhakrishna - In: Statistical papers 39 (1998) 1, pp. 61-74
Persistent link: https://www.econbiz.de/10001236262
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Revisit to the application of weighted mixed regression estimation in linear regression models with missing data
Toutenburg, Helge; Srivastava, Virendra K. - 2001
Persistent link: https://www.econbiz.de/10001744648
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Estimation of regression coefficients subject to exact linear restrictions when some observations are missing and balanced loss function is used
Toutenburg, Helge; Srivastava, Virendra K. - 1999
Persistent link: https://www.econbiz.de/10001745334
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On the first order regression procedure of estimation for incomplete regression models
Srivastava, Virendra K.; Toutenburg, Helge - 1999
Persistent link: https://www.econbiz.de/10001745352
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Estimation of linear regression models with missingness of observations on both the explanatory and study variables. Part I: Theoretical results
Toutenburg, Helge; Srivastava, Virendra K. - 2000
Persistent link: https://www.econbiz.de/10001745420
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Application of Stein-rule estimation to linear regression models with some missing observations
Toutenburg, Helge; Srivastava, Virendra K.; Heumann, … - In: Journal of quantitative economics : official journal of … 4 (2006) 2, pp. 14-24
Persistent link: https://www.econbiz.de/10003498490