Theory of Preliminary Test and Stein-Type Estimation with Applications

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  1. Hinari - Lista de libros
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Hinari - Lista de libros

Judge, M. Liu, A new class of biased estimate in linear regression, Comm. Theory Methods, , , Liu, Using Liu-type estimator to combat collinearity, Comm. Theory Methods, 5 ,, Norouzirad, M. Arashi, Preliminary test and Stein-type shrinkage ridge estimators in robust regression, Stat.

McDonald, D. Galarneau, A Monte Carlo evaluation of some ridge-type estimators, J.

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R, Rao, H. Toutenburg, Shalabh, C.


  • Wittgenstein and Reason (Ratio Special Issues).
  • [PDF] A Preliminary Test Estimator in Circular Statistics - Semantic Scholar.
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Roozbeh, Shrinkage ridge estimators in semiparametric regression models, J. Arashi, Feasible ridge estimator in partially linear models, Journal of Multivariate, , , Ruppert, SJ.

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Theory of Ridge Regression Estimation with Applications

Sheather, MP. Wand, An effective bandwidth selector for local least squares regression, Journal of the American Statistical Association , , Saleh, B. Kibria, Performances of some new preliminary test ridge regression estimators and their properties, Comm. Theory Methods, 10 , , Stein, Inadmissibility of the usual estimator for the mean of a multivariate normal distribution, in: Proceedings of the Third Berkeley Symposium, vol.


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Swamy, J. Mehta, A note on minimum average risk estimator for coefficients in linear models, Comm.

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Link Either by signing into your account or linking your membership details before your order is placed. Description Table of Contents Product Details Click on the cover image above to read some pages of this book! List of Figures. List of Tables.

Theory of Preliminary Test and Stein-Type Estimation with Applications

Preliminary Test Estimation. Stein-Type Estimation. Parallelism Model.

Estimating a Linear Regression Model for Stationary Time Series in OxMetrics

Multiple Regression Model. Regression Model: Stochastic Subspace. Ridge Regression. Regression Models with Autocorrelated Errors. Multivariate Models.