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Evaluación del análisis de capacidad de un caso industrial para datos no normales
(Editorial ULEAD, 2023-07-01)
El análisis de capacidad es una herramienta utilizada en el control de calidad para evaluar la capacidad de un proceso para producir productos o servicios dentro de los límites especificados. Sin embargo, la mayoría de los ...
STREET REGION DETECTION FROM NORMALIZED DIGITAL SURFACE MODEL AND LASER DATA INTENSITY IMAGE
(Copernicus Gesellschaft Mbh, 2011-01-01)
The urban road network extraction process can be simplified by firstly detecting regions corresponding to streets, allowing a substantial reduction of the search area. As a result, the extraction process is benefited in ...
Street region detection from normalized Digital Surface Model and laser data intensity image
(2011-04-26)
The urban road network extraction process can be simplified by firstly detecting regions corresponding to streets, allowing a substantial reduction of the search area. As a result, the extraction process is benefited in ...
Bayesian multivariate nonlinear mixed models for censored longitudinal trajectories with non-monotone missing values
(Sringer Heidelberg, 2023)
The analysis of multivariate longitudinal data may often encounter a difficult task, particularly in the presence of censored measurements induced by detection limits and intermittently missing values arising when subjects ...
Tests for normality in linear panel data models
(Stata Press, 2015-04)
A new Stata command, xtsktest, is proposed to explore non-normalities in linear panel data models. The tests explore skewnessand excess kurtosis allowing researchers to identify departures away from gaussianity in both ...
Optimal Estimation of Process Capability Indices with Non-Normal Data and Inaccurate Parameters using Metaheuristics
(SRAC - Societatea Romana Pentru Asigurarea Calitatii, 2017-12-01)
The current methods for estimating Process Capability Indices are based on the assumptions of normality and accuracy of process data. Under actual production conditions the data of quality characteristics of the products ...
CORAZON: a web server for data normalization and unsupervised clustering based on expression profiles
(BMC, 2020)
Objective Data normalization and clustering are mandatory steps in gene expression and downstream analyses, respectively. However, user-friendly implementations of these methodologies are available exclusively under expensive ...
Probit or Logit? Which is the better model to predict the longevity of seeds?
(Cambridge Univ Press, 2020-03-01)
The prediction of seed longevity (P50) is traditionally performed by the use of the Probit model. However, due to the fact that the survival data are of binary origin (0,1), the fit of the model can be compromised by the ...
Estimação de densidades via Misturas de distribuições "Skew"-normal por processos de Dirichlet"
(Universidade Federal de Minas GeraisUFMG, 2011-05-09)
This work addresses the density estimation problem using non-parametric Bayesian approach. It is considered hierarchical mixture models where the uncertainty about the mixing measure is modeled using the Dirichlet process ...