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Estimación de la proporción de una subpoblación oculta a través de muestreo por “bola de nieve” estratificado
(2008)
The inference process is inefficient when employing conventional sampling tech- niques to sample from hidden populations and those of difficult access. The method of sampling by reference or “Link-Tracing” (“Snowball ...
Clasificación noparamétrica en datos direccionales
(2004)
In a supervised classification problem, when the vectors of data are direction- al, it means, that they take values on a k-dimensional sphere, the application of the algorithms of pattern recognition as k-nearest-neighbour ...
Clasificadores por redes bayesianas
(2005)
A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...
Comparación de métodos directos e indirectos para estimar prácticas de “copiarse” y plagio en el Recinto Universitario de Mayagüez
(2008)
A study is presented on the methodology of comparing different survey techniques based on indirect methods against direct methods to estimate the practice of copying and plagiarism of students at the University of Puerto ...
A comparison in cluster validation techniques
(2004)
Clustering may be defined as a process that aims to find partitions of similar objects. It is an unsupervised recognition procedure since there are no predefined classes that indicate grouping properties in the data set. ...
Efecto de casos anómalos en máquinas de vectores de soporte
(2009-03)
Support Vector Machines (SVM) is a new technique of classification that has received much attention in recent years. In many applications, the SVM has shown better performance than machine learning methods, and it has been ...
Matrices de covarianza estructuradas en modelos con medidas repetidas
(2005)
Many experiments in plants and animals, clinical trials and economic studies, have in common recording several measurements through time on the same experimental unit. These experiments use the mixed linear models with ...
Sieve bootstrap en series de tiempo de nubosidad en el caribe
(2006)
The Sieve Bootstrap is a resampling method, designed to deal with autocorrelated data, specifically a sequence of information taken at equal time intervals. Formally, the Sieve Bootstrap approximates a linear process by a ...
Regresión logística con penalidad ridge aplicada a datos de expresión genética
(2005)
Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...
La transmisión de la epidemia de VIH/SIDA en Puerto Rico: Modelos de regresión.
(2009)
This research considered statistical modeling to forecast the number of deaths by AIDS in Puerto Rico using as predictors variables the number of diagnosed cases classified by transmission modes. For this study data was ...