Buscar
Mostrando ítems 31-40 de 139
Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
(John Wiley & Sons Ltd., 2019-09-13)
[Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ...
Simultaneous inference for linear mixed model parameters with an application to small area estimation
(John Wiley & Sons, 2022)
[Abstract]: Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longitudinal data are investigated. ...
Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation
(MDPI, 2022)
[Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ...
Two-stage optimization methods to solve the DNA-sample allocation problem
(MDPI, 2022-11)
[Abstract]: This paper deals with new methods capable of solving the optimization problem concerning the allocation of DNA samples in plates in order to carry out the DNA sequencing with the Sanger technique. These methods ...
Machine learning for multivariate time series with the R package mlmts
(Elsevier B.V., 2023-06)
[Abstract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with univariate time series, multivariate time series have typically received much less attention. However, the ...
Application of residuals from purification of bivalve molluscs in Galician to facilitate marine ecosystem resiliency through artificial reefs with shells – One generation
(Elsevier, 2023-01-15)
[Abstract] The seas and oceans of the planet provide a wide range of essential resources. However, marine ecosystems are undergoing severe degradation due to the unsustainable exploitation and consumption patterns of the ...
Empirical best prediction of small area bivariate parameters
(Wiley-Blackwell Publishing Ltd, 2022)
[Abstract]: This paper introduces empirical best predictors of small area bivariate parameters, like ratios of sums or sums of ratios, by assuming that the target unit-level vector follows a bivariate nested error regression ...
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
(Elsevier, 2022-11)
[Abstract]: Robust fuzzy clustering of multivariate time series is addressed when the clustering purpose is grouping together series generated from similar stochastic processes. Robustness to the presence of anomalous ...
Computational advances in polynomial optimization: RAPOSa, a freely available global solver
(Springer Netherlands, 2022-09)
[Abstract]: In this paper we introduce RAPOSa, a global optimization solver specifically designed for (continuous) polynomial programming problems with box-constrained variables. Written entirely in C++, RAPOSa is based ...
npcure: An R Package for Nonparametric Inference in Mixture Cure Models
(Technische Universitaet Wien, 2021)
[Abstract] Mixture cure models have been widely used to analyze survival data with a cure fraction. They assume that a subgroup of the individuals under study will never experience the event (cured subjects). So, the goal ...