Selecting the Number of Principal Components in Functional Data

Author： Li Yehua   Wang Naisyin   Carroll Raymond J.  

Publisher： Taylor & Francis Ltd

ISSN： 0162-1459

Source： Journal of the American Statistical Association, Vol.108, Iss.504, 2013-12, pp. : 1284-1294

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

Related content

An effective method for selecting the number of components in density mixtures

By Whitaker S.   Lee T. C. M.  

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 10, 2007-01 ,pp. : 907-914

Taylor & Francis Ltd

Access to resources Recommend Favorite

Principal components of sample estimates: an approach through symbolic data analysis

By Zuccolotto Paola  

Statistical Methods and Applications, Vol. 16, Iss. 2, 2007-08 ,pp. : 173-192

Springer Publishing Company

Access to resources Recommend Favorite

A concentration study of principal components

By Bénasséni Jacques  

Journal of Applied Statistics, Vol. 32, Iss. 9, 2005-11 ,pp. : 947-957

Taylor & Francis Ltd

Access to resources Recommend Favorite

Efficient R-Estimation of Principal and Common Principal Components

By Hallin Marc   Paindaveine Davy   Verdebout Thomas  

Journal of the American Statistical Association, Vol. 109, Iss. 507, 2014-07 ,pp. : 1071-1083

Taylor & Francis Ltd

Access to resources Recommend Favorite

A clustering approach to interpretable principal components

By Enki Doyo G.  

Journal of Applied Statistics, Vol. 40, Iss. 3, 2013-03 ,pp. : 583-599

Taylor & Francis Ltd

Access to resources Recommend Favorite