Explained Variation and Predictive Accuracy in General Parametric Statistical Models: The Role of Model Misspecification

Author： Rosthøj Susanne Keiding Niels

Publisher： Springer Publishing Company

ISSN： 1380-7870

Source： Lifetime Data Analysis, Vol.10, Iss.4, 2004-12, pp. : 461-472

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

Model Misspecification Effects Within A Family of Alternative Discrete Reliability-Growth Models

By Sen A.

Lifetime Data Analysis, Vol. 4, Iss. 1, 1998-01 ,pp. : 65-81

Springer Publishing Company

Access to resources Recommend Favorite

A General Model of Random Variation

By Shore Haim

Communications in Statistics: Theory and Methods, Vol. 44, Iss. 9, 2015-05 ,pp. : 1819-1841

Taylor & Francis Ltd

Access to resources Recommend Favorite

A general methodology for bootstrapping in non-parametric frontier models

By Simar L.

Journal of Applied Statistics, Vol. 27, Iss. 6, 2000-08 ,pp. : 779-802

Taylor & Francis Ltd

Access to resources Recommend Favorite

Statistical inference on semi-parametric partial linear additive models

By Wei Chuan-hua

Journal of Nonparametric Statistics, Vol. 24, Iss. 4, 2012-12 ,pp. : 809-823

Taylor & Francis Ltd

Access to resources Recommend Favorite

Detecting Model Misspecification in Inflated Beta Regressions

By Pereira Tarciana L. Cribari-Neto Francisco

Communications in Statistics: Simulation and Computation, Vol. 43, Iss. 3, 2014-01 ,pp. : 631-656

Taylor & Francis Ltd

Access to resources Recommend Favorite