Manuel Escabias

According to our database, Manuel Escabias authored at least 12 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

logitFD: an R package for functional principal component logit regression.

Manuel Escabias, Ana M. Aguilera, Christian Acal

R J., December, 2022

Introducing a bibliometric index based on factor analysis.

Pilar Valderrama, Evaristo Jiménez-Contreras, Manuel Escabias, Mariano J. Valderrama

Scientometrics, 2022

2018

A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry.

Pilar Valderrama, Manuel Escabias, Evaristo Jiménez-Contreras, Mariano J. Valderrama, Pilar Baca

Scientometrics, 2018

Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry.

Pilar Valderrama, Manuel Escabias, Evaristo Jiménez-Contreras, Alberto Rodríguez-Archilla, Mariano J. Valderrama

Scientometrics, 2018

2014

Functional PCA and Base-Line Logit Models.

Manuel Escabias, Ana M. Aguilera, M. Carmen Aguilera-Morillo

J. Classif., 2014

2013

Reviewers' ratings and bibliometric indicators: hand in hand when assessing over research proposals?

Alvaro Cabezas-Clavijo, Nicolás Robinson-García, Manuel Escabias, Evaristo Jiménez-Contreras

CoRR, 2013

2008

Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus.

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2008

Forecasting binary longitudinal data by a functional PC-ARIMA model.

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2008

2007

On a state-space modelling for functional data.

Mónica Ortega-Moreno, Manuel Escabias

Comput. Stat., 2007

Computational considerations in functional principal component analysis.

Francisco A. Ocaña, Ana M. Aguilera, Manuel Escabias

Comput. Stat., 2007

Functional PLS logit regression model.

Manuel Escabias, Ana M. Aguilera, Mariano J. Valderrama

Comput. Stat. Data Anal., 2007

2006

Using principal components for estimating logistic regression with high-dimensional multicollinear data.

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2006