This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Information about:
Francisco Antonio Ocaña

Personal Details | Affiliation | Works
This is information that was supplied by Francisco Ocaña in registering through RePEc. If you are Francisco Antonio Ocaña , you may change this information at RePEc. Or if you are not registered and would like to be listed as well, register at RePEc. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Other registered authors


Personal Details

First Name: Francisco
Middle Name: Antonio
Last Name: Ocaña
Suffix:

RePEc Short-ID: poc10

Email: [This author has chosen not to make the email address public]
Homepage:
http://www.ugr.es/~focana
Postal Address:
Phone:

Affiliation

(in no particular order)

Works

|
Articles | Access and download statistics | Citations (if any)|
Download all references for this author: available formats: HTML, plain text, BibTeX, RIS (EndNote), ReDIF


Articles

  1. Francisco Ocaña & Ana Aguilera & Manuel Escabias, 2007. "Computational considerations in functional principal component analysis," Computational Statistics, Springer, vol. 22(3), pages 449-465, September. [Downloadable!] (restricted)

  2. Ana Aguilera & Francisco Ocaña & Mariano Valderrama, 1999. "Forecasting with unequally spaced data by a functional principal component approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 8(1), pages 233-253, June. [Downloadable!] (restricted)


Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2008-8-14.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.