SERGIO JUAREZ

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Arturo Velázquez Ruiz

Universidad Veracruzana

Rosa María Lozada Grajales

Patricia Gerez

Universidad Veracruzana

Ernesto Isunza Vera

CIESAS

Erandi Castillo Pérez

El Colegio de México

Griselda Martínez Romero

Universidad Autonoma de Queretaro

Ana Piquer

Ramsés Sánchez Soberano

Universidad Veracruzana Campus Xalapa

Carlos Gaston Guadarrama

Universidad Autonoma Chapingo

Daniel Murillo

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Disponibilidad hídrica del manantial “Ojo de Agua” ubicado en la microcuenca del rio Pixquiac, Veracruz, México

UVserva

Se presenta la información de carácter diacrónico sobre el caudal total, el volumen para uso antr... more Se presenta la información de carácter diacrónico sobre el caudal total, el volumen para uso antrópico y caudal ecológico del manantial “Ojo de Agua” ubicado en la microcuenca del río Pixquiac, y la metodología utilizada; así como la información que contextualiza la compleja problemática sobre la disponibilidad del agua.

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Extraction of Definitional Contexts from Biomedical Corpora

En este proyecto se formula una metodología para extraer contextos definitorios desde corpus de b... more En este proyecto se formula una metodología para extraer contextos definitorios desde corpus de biomedicina en español, con el fin de generar los siguientes productos: (i) un listado de candidatos a términos, (ii) un listado de candidatos a definiciones, y (iii) una taxonomía de términos biomédicos basada en relaciones de hiponimia/hiperonimia. Nuestro método permite crear un sistema capaz de extraer tales contextos, el cual puede verse como un módulo que cubriría las primeras etapas a seguir para construir una ontología basada en información textual.In this project we formulate a methodology for extracting definitional contexts from corpus of biomedicine in Spanish, in order to generate the following products: (i) a list of candidate terms, (ii) a list of candidates for definitions, and (iii) a taxonomy of biomedical terms relationships based on hyponym/hyperonym. Our methodology allows the creation of a system capable of extracting such contexts, which can be seen as a module that...

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Extracción de contextos definitorios en el área de biomedicina

Proces. del Leng. Natural, 2016

En este proyecto se formula una metodologia para extraer contextos definitorios desde corpus de b... more En este proyecto se formula una metodologia para extraer contextos definitorios desde corpus de biomedicina en espanol, con el fin de generar los siguientes productos: (i) un listado de candidatos a terminos, (ii) un listado de candidatos a definiciones, y (iii) una taxonomia de terminos biomedicos basada en relaciones de hiponimia/hiperonimia. Nuestro metodo permite crear un sistema capaz de extraer tales contextos, el cual puede verse como un modulo que cubriria las primeras etapas a seguir para construir una ontologia basada en informacion textual.

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Propagación por enraizamiento de estacas y conservación de árboles plus extintos de Pinus patula procedentes del norte de Veracruz, México

Madera y Bosques, 2014

Como consecuencia del rescate de un lote de semillas colectado en marzo de 1995, se evaluó el por... more Como consecuencia del rescate de un lote de semillas colectado en marzo de 1995, se evaluó el porcentaje de germinación, el crecimiento de las plántulas de la progenie a través de un modelo de curvas de crecimiento, así como la capacidad de rebrote y enraizamiento de 224 setos de 28 árboles plus extintos de tres poblaciones de Pinus patula, cultivados en bolsa de plástico (grande y pequeña) bajo un diseño de cuatro bloques completamente al azar. Los porcentajes de germinación fueron significativamente diferentes entre las tres poblaciones, resultando superior para los individuos procedentes de Canalejas Otates. Durante el periodo de crecimiento de la progenie se observó un patrón definido por dos fases de incremento estacional, una en otoño-invierno y otra en primavera-verano. En general, la capacidad de rebrote de los setos podados a 15 cm de altura fue de 5927 brotes en total, de éstos, 3 426 brotes fueron producidos por los setos cultivados en bolsa grande. Finalmente, el porcent...

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Automatic counting of fungiform papillae by shape using cross-correlation

Computers in Biology and Medicine, 2016

The determination of the number of fungiform papillae (FP) on the human tongue is important for t... more The determination of the number of fungiform papillae (FP) on the human tongue is important for taste sensitivity studies. Most of the time, the counting of the FP is done manually. In this paper we propose a novel algorithm to count the FP using shape characteristics measured by cross-correlation. The accuracy of the algorithm is evaluated by counting the FP manually on the same images and then doing a statistical analysis. A Poisson regression model is fitted using maximum likelihood. The result is that the algorithm counts are very similar to the human experts. Another advantage of the algorithm is its facility of use, velocity and that it can work on a plain tongue image, without the need to stain the tongue as is usual in manual counting.

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A note on the asymptotic distribution of the minimum density power divergence estimator

Institute of Mathematical Statistics Lecture Notes - Monograph Series, 2006

We establish consistency and asymptotic normality of the minimum density power divergence estimat... more

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Simulating select families of multivariate discrete variates with positive correlations

Wiley Interdisciplinary Reviews: Computational Statistics, 2013

ABSTRACT Procedures for simulating multivariate discrete distributions are often needed for model... more ABSTRACT Procedures for simulating multivariate discrete distributions are often needed for modeling real-life situations. Several authors have provided algorithms to simulate data from such distributions, yet the need for algorithms that produce multivariate discrete correlated variates persists. Thus, we propose a simple algorithm to simulate values from several multivariate discrete distributions with positive correlations. The algorithm samples from the mixture distribution that arises from a suitable two-level hierarchical structure. Our algorithm is computationally efficient, straightforward to implement, and produces values with any positive correlation in (0,1). We illustrate our proposal through two trivariate examples implemented in R. For further resources related to this article, please visit the WIREs website. Conflict of interest: The authors have declared no conflicts of interest for this article.

Robust and Efficient Estimation for the Generalized Pareto Distribution

Extremes, 2004

We implement the minimum density power divergence estimator (MD-PDE) for the shape and scale para... more We implement the minimum density power divergence estimator (MD-PDE) for the shape and scale parameters of the generalized Pareto distribution (GPD). The MDPDE is indexed by a constant α ≥ 0 that controls the trade-off between robustness and efficiency. For α = 0 the MDPE is equivalent to the maximum likelihood estimator (MLE) and as α increases, robustness increases and efficiency decreases. We show that for α > 0 the MDPDE for the GPD has a bounded influence function. For α < 0.2 the MDPDE maintains good asymptotic relative efficiencies, usually above 90%. The results from a Monte Carlo study agree with these asymptotic calculations. We also show that the MDPDE is asymptotically normally distributed if the shape parameter is less than (1 + α)/(2 + α), and estimators for standard errors are readily computed under this restriction on α. We compare the MDPDE, MLE, Dupuis' optimally-biased robust estimator (OBRE), and Peng and Welsh's Medians estimator for the parameters and upper quantiles. The simulations indicate that the MLE has the highest efficiency under ideal conditions. However, for models contaminated with gross errors OBRE and MDPDE are better than the MLE. For all the models that we studied the Medians estimator had poor performance. Finally, we apply the new estimator for modeling high ozone levels from the northeast of the Metropolitan area of Mexico City.

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Project PE-A-06 CEMIE Redes : Part 1: Characterization and Estimation of Technical Power Losses in Low-Voltage Electric Networks of Mexico Using Analysis and Measurement Tools

2021 IEEE International Conference on Engineering Veracruz (ICEV), 2021

This paper presents the advances and results of a research project conducted by the Mexican Centr... more This paper presents the advances and results of a research project conducted by the Mexican Centre of Innovation in Intelligent Electrical Networks and Micro-networks (CEMIE-Redes) funded by the 2138 Sectorial Fund CONACYT-SENER-Sustainable Energy. The main objective is to know the technical power losses associated with the different areas, which integrate low voltage electric networks in Mexico. Since there are about 1.5 million low-voltage networks in Mexico, a census is not feasible, therefore a sampling approach is followed. The statistical algorithms for the selection of a sample were developed and implemented in a computer system. Measurement equipment will be installed in the sampled networks for collecting data, which will be used to estimate nationwide the total technical loss and, via mathematical models, to calculate the technical losses in each low voltage network of the national energy distribution system.

Inferencia Estadística Para El Índice Europeo De Satisfacción De Clientes Basada en Bootstrap y Pruebas De Permutación

In this work we develop statistical inference procedures, based on bootstrap and permutation test... more In this work we develop statistical inference procedures, based on bootstrap and permutation tests, for the European Customer Satisfaction Index (ECSI). The main objective is to fill an existent gap, to the best of our knowledge, in statistical methods for confidence interval estimation of one ECSI, for hypothesis testing comparing two or more ECSIs, and for ranking a set of ECSIs. The procedures proposed is applied to a study of higher education students’ satisfaction conducted in Veracruz University (Mexico). The results indicate that the procedures of statistical inference are feasible and straightforward to implement with R. KEYWORDS: Aggregate Customer Satisfaction Index, Structural Equations Model, Partial Least Squares, Students’ Satisfaction. MSC: 91B82, 91B42, 62G09

Some new properties of the generalized Pareto distribution with applications to the analysis of trend in the levels of contaminants

Disponibilidad hídrica del manantial “Ojo de Agua” ubicado en la microcuenca del rio Pixquiac, Veracruz, México

UVserva

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Extraction of Definitional Contexts from Biomedical Corpora

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Extracción de contextos definitorios en el área de biomedicina

Proces. del Leng. Natural, 2016

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Propagación por enraizamiento de estacas y conservación de árboles plus extintos de Pinus patula procedentes del norte de Veracruz, México

Madera y Bosques, 2014

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Automatic counting of fungiform papillae by shape using cross-correlation

Computers in Biology and Medicine, 2016

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A note on the asymptotic distribution of the minimum density power divergence estimator

Institute of Mathematical Statistics Lecture Notes - Monograph Series, 2006

We establish consistency and asymptotic normality of the minimum density power divergence estimat... more

Download

Simulating select families of multivariate discrete variates with positive correlations

Wiley Interdisciplinary Reviews: Computational Statistics, 2013

Robust and Efficient Estimation for the Generalized Pareto Distribution

Extremes, 2004

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Project PE-A-06 CEMIE Redes : Part 1: Characterization and Estimation of Technical Power Losses in Low-Voltage Electric Networks of Mexico Using Analysis and Measurement Tools

2021 IEEE International Conference on Engineering Veracruz (ICEV), 2021

Inferencia Estadística Para El Índice Europeo De Satisfacción De Clientes Basada en Bootstrap y Pruebas De Permutación

Some new properties of the generalized Pareto distribution with applications to the analysis of trend in the levels of contaminants

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