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- Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama
- Computational Statistics & Data Analysis
- 2006

The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and their interpretation in terms of odds ratios may be erroneous, when there is multicollinearity (high dependence) among the predictors. Other important problem is the great number of… (More)

- Ana M. Aguilera, FRANCISCO A. OCAN, Mariano J. Valderrama
- 1997

In this paper, a linear model for forecasting a continuous-time stochastic process in a future interval in terms of its evolution in a past interval is developed. This model is based on linear regression of the principal components in the future against the principal components in the past. In order to approximate the principal factors from discrete… (More)

Over the last few years many methods have been developed for analyzing functional data with different objectives. The purpose of this paper is to predict a binary response variable in terms of a functional variable whose sample information is given by a set of curves measured without error. In order to solve this problem we formulate a functional logistic… (More)

- Adela M Valero, Marta Paniagua, +4 authors Francisco Javier Adroher
- Parasitology international
- 2006

An epidemiological survey of anisakids was carried out on 209 specimens of greater forkbeard (Phycis blennoides) and 58 of forkbeard (Phycis phycis) captured off the Mediterranean coasts of Andalucía (southern Spain). Four species of nematodes were identified: Anisakis simplex s.l., Anisakis physeteris, Hysterothylacium aduncum and Hysterothylacium fabri.… (More)

- Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama
- Computational Statistics & Data Analysis
- 2008

The purpose of this paper is to forecast the time evolution of a binary response variable from an associated continuous time series observed only at discrete time points that usually are unequally spaced. In order to solve this problem we are going to use a functional logit model based on functional principal component analysis of the predictor time series… (More)

- Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama
- Computational Statistics & Data Analysis
- 2008

- Emilia Quesada, Vilma Béjar, Mariano J. Valderrama, António Ventosa, A R Ramos Cormenzana
- Microbiología
- 1985

A total of 736 strains were isolated from samples taken from three different saline habitats: solar saltern, saline soils and the sea, near Alicante (Spain). For a further study 60 moderately halophilic nonmotile rods were selected and studied for 57 phenotypic characteristics. The highest proportion of moderately halophilic nonmotile rods were isolated… (More)

- Gabriella Giménez-Jurado, Mariano J. Valderrama, Isabel de Sá-Nogueira, Isabel Spencer-Martins
- Antonie van Leeuwenhoek
- 1995

The taxonomy of the yeast genusMetschnikowia has undergone profound changes over the past century. Major developments, from the capacity to obtain pure cultures of parasitic species to progress associated with the extensive use of molecular biology tools in yeast systematics, are briefly reviewed. Results from past work and new data are combined to evaluate… (More)

- M. Escabiasy, Ana M. Aguilera, Mariano J. Valderrama
- 2004

In recent years, many studies have dealt with predicting a response variable based on the information provided by a functional variable. When the response variable is binary, different problems arise, such as multicollinearity and high dimensionality, which prejudice the estimation of the model and the interpretation of its parameters. In this article we… (More)

- F. A. Ocan, Mariano J. Valderrama
- 1998

The functional principal components analysis (PCA) involves new considerations on the mechanism of measuring distances (the norm). Some properties arising in functional framework (e.g., smoothing) could be taken into account through an inner product in the data space. But this proposed inner product could make, for example, interpretational or (and)… (More)