On the Performance of the Jackknifed Modified Ridge Estimator in the Linear Regression Model with Correlated or Heteroscedastic Errors

By Li Yalian   Yang Hu  

Communications in Statistics: Theory and Methods, Vol. 40, Iss. 15, 2011-01 ,pp. : 2695-2708

Taylor & Francis Ltd

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A Note on a Commonly Used Ridge Regression Monte Carlo Design

By Holgersson H. E.T.  

Communications in Statistics: Theory and Methods, Vol. 44, Iss. 10, 2015-05 ,pp. : 2176-2179

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Monte Carlo Simulation Study of Biased Estimators in the Linear Regression Models with Correlated or Heteroscedastic Errors

By Özkale M. Revan  

Communications in Statistics: Simulation and Computation, Vol. 43, Iss. 5, 2014-01 ,pp. : 1143-1186

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Stochastic approximation Monte Carlo Gibbs sampling for structural change inference in a Bayesian heteroscedastic time series model

By Kim Jaehee   Cheon Sooyoung  

Journal of Applied Statistics, Vol. 41, Iss. 10, 2014-10 ,pp. : 2157-2177

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Some ridge regression estimators for the zero-inflated Poisson model

By Kibria B. M. Golam  

Journal of Applied Statistics, Vol. 40, Iss. 4, 2013-04 ,pp. : 721-735

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