A Maximal Extension of the Gauss–Markov Theorem and Its Nonlinear Version

ISSN： 0047-259X

Source： Journal of Multivariate Analysis, Vol.83, Iss.1, 2002-10, pp. : 37-55

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

The maximal linear extension theorem in second order arithmetic

By Marcone Alberto Shore Richard

Archive for Mathematical Logic, Vol. 50, Iss. 5-6, 2011-07 ,pp. : 543-564

Springer Publishing Company

Access to resources Recommend Favorite

Linear sufficiency and linear admissibility in a continuous time Gauss-Markov model

By Ibarrola P. Perez-Palomares A.

Journal of Multivariate Analysis, Vol. 87, Iss. 2, 2003-11 ,pp. : 315-327

Elsevier

Access to resources Recommend Favorite

The Random Version of the Kirzbraun–Valentine Extension Theorem

By Bingham N.N.H.

Journal of Mathematical Analysis and Applications, Vol. 215, Iss. 1, 1997-11 ,pp. : 147-153

Academic Press

Access to resources Recommend Favorite

Central Limit Theorem for Nonlinear Semi-Markov Reward Processes

By Khorshidian K.

Stochastic Analysis and Applications, Vol. 27, Iss. 4, 2009-07 ,pp. : 656-670

Taylor & Francis Ltd

Access to resources Recommend Favorite

On a Multivalued Version of the Sharkovskii Theorem and Its Application to Differential Inclusions, II

By Andres Jan Jüttner Libor Pastor Karel

Set-Valued Analysis, Vol. 13, Iss. 1, 2005-03 ,pp. : 47-68

Springer Publishing Company

Access to resources Recommend Favorite