Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Francisco‐Fernández, Mario"'
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics (2024), 29, 56-72
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 combines conditional simulation techniques
Externí odkaz:
http://arxiv.org/abs/2403.19757
Publikováno v:
TEST (2020), 29, 728-749
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a $L_2$-distance comparing a parametric and a nonparametric regression estimato
Externí odkaz:
http://arxiv.org/abs/2402.00512
Publikováno v:
Stochastic Environmental Research and Risk Assessment (2018), 32, 675-684
In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear regression estimator, with t
Externí odkaz:
http://arxiv.org/abs/2401.17770
Publikováno v:
Stochastic Environmental Research and Risk Assessment (2021), 35, 923-939
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave analysis is the study of height and direction waves, being direction valu
Externí odkaz:
http://arxiv.org/abs/2401.17754
Publikováno v:
Journal of Flood Risk Management (2018), 11(S2), S902-S915
Time series and extreme value analyses are two statistical approaches usually applied to study hydrological data. Classical techniques, such as ARIMA models (in the case of mean flow predictions), and parametric generalised extreme value (GEV) fits a
Externí odkaz:
http://arxiv.org/abs/2401.17422
Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring and fall seasons should present a mild
Externí odkaz:
http://arxiv.org/abs/2205.12565
Testing procedures for assessing a parametric regression model with circular response and $\mathbb{R}^d$-valued covariate are proposed and analyzed in this work both for independent and for spatially correlated data. The test statistics are based on
Externí odkaz:
http://arxiv.org/abs/2008.13473
Nonparametric estimators of a regression function with circular response and Rd-valued predictor are considered in this work. Local polynomial type estimators are proposed and studied. Expressions for their asymptotic biases and variances are derived
Externí odkaz:
http://arxiv.org/abs/2001.10317
TTS package: Computational tools for the application of the Time Temperature Superposition principle
Autor:
Meneses, Antonio, Naya, Salvador, Francisco-Fernández, Mario, López-Beceiro, Jorge, Gracia-Fernández, Carlos, Tarrío-Saavedra, Javier
Publikováno v:
In Heliyon May 2023 9(5)
Publikováno v:
Statistical Papers; Apr2024, Vol. 65 Issue 2, p945-974, 30p