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Testing goodness-of-fit of parametric spatial Trends
(M D P I AG, 2018-09-17)
[Abstract] The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors. The asymptotic behavior under ...
Small area estimation of labour force indicators under a multinomial model with correlated time and area effects
(Wiley-Blackwell Publishing Ltd., 2014-09-30)
[Abstract] The aim of the paper is the estimation of small area labour force indicators like totals of employed and unemployed people and unemployment rates. Small area estimators of these quantities are derived from four ...
Small area estimation of average compositions under multivariate nested error regression models
(Springer Science and Business Media Deutschland GmbH, 2023)
[Abstract]: This paper investigates the small area estimation of population averages of unit-level compositional data. The new methodology transforms the compositions into vectors of Rm and assumes that the vectors follow ...
Nonparametric forecasting in time series: a comparative study
(Taylor & Francis, 2007)
The problem of predicting a future value of a time series is considered in this
paper. If the series follows a stationary Markov process, this can be done
by nonparametric estimation of the autoregression function. Two ...
Prediction of forest fires occurrences with area-level Poisson mixed models
(Academic Press, 2015-05-01)
[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ...
Empirical best prediction under area-level Poisson mixed models
(Springer, 2015-12-19)
[Abstract] The paper studies the applicability of area-level Poisson mixed models to estimate small area counting indicators. Among the available procedures for fitting generalized linear models, the method of moments (MM) ...
Burned area prediction with semiparametric models
(CSIRO Publishing, 2016-04-27)
[Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ...
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 ...
Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator
(MDPI, 2021)
[Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean ...
Nonparametric Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)
[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...