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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). ...
Nonparametric geostatistical risk mapping
(2018)
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 ...
River flow modelling using nonparametric functional data analysis
(John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), 2018)
[Abstract]: Time series and extreme value analyses are two statistical approaches usually
applied to study hydrological data. Classical techniques, such as autoregressive
integrated moving-average models (in the case of ...
Automatic detection of defective crankshafts by image analysis and supervised classification
(2019)
[Abstract]: A crankshaft is a mechanical component of an engine that performs a conversion of an alternative movement of a piston in a rotational motion of a shaft. It is a critical part and one of the most expensive of ...
Kernel distribution estimation for grouped data
(Institut d'Estadística de Catalunya, 2019)
[Abstract]: Interval-grouped data appear when the observations are not obtained in continuous time, but
monitored in periodical time instants. In this framework, a nonparametric kernel distribution esti-
mator is proposed ...