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NPCirc: An R package for nonparametric circular methods
M Oliveira, RM Crujeiras… - Journal of Statistical …, 2014 - jstatsoft.org
Nonparametric density and regression estimation methods for circular data are included in
the R package NPCirc. Specifically, a circular kernel density estimation procedure is …
the R package NPCirc. Specifically, a circular kernel density estimation procedure is …
Modeling angles in proteins and circular genomes using multivariate angular distributions based on multiple nonnegative trigonometric sums
JJ Fernández-Durán… - Statistical applications in …, 2014 - degruyter.com
Fernández-Durán, JJ (2004):“Circular distributions based on nonnegative trigonometric
sums,” Biometrics, 60, 499–503, developed a family of univariate circular distributions based …
sums,” Biometrics, 60, 499–503, developed a family of univariate circular distributions based …
Maximum likelihood estimation of nonnegative trigonometric sum models using a Newton-like algorithm on manifolds
JJ Fernández-Durán, MM Gregorio-Domínguez - 2010 - projecteuclid.org
In Fernández-Durán [4], a new family of circular distributions based on nonnegative
trigonometric sums (NNTS models) is developed. Because the parameter space of this …
trigonometric sums (NNTS models) is developed. Because the parameter space of this …
Modeling seasonal effects in the bass forecasting diffusion model
JJ Fernández-Durán - Technological Forecasting and Social Change, 2014 - Elsevier
Abstract The Bass Forecasting Diffusion Model is one of the most used models to forecast
the sales of a new product. It is based on the idea that the probability of an initial sale is a …
the sales of a new product. It is based on the idea that the probability of an initial sale is a …
[PDF][PDF] Central limit theorems for directional and linear random variables with applications
E Garcıa–Portugués, RM Crujeiras… - arxiv preprint arxiv …, 2014 - Citeseer
A central limit theorem for the integrated squared error of the directional–linear kernel
density estimator is established. The result enables the construction and analysis of two …
density estimator is established. The result enables the construction and analysis of two …
Central limit theorems for directional and linear random variables with applications
E García-Portugués, RM Crujeiras… - Statistica Sinica, 2015 - JSTOR
A central limit theorem for the integrated squared error of the directional-linear kernel density
estimator is established. The result enables the construction and analysis of two testing …
estimator is established. The result enables the construction and analysis of two testing …
Consumer segmentation based on use patterns
Recent technological advances have enabled the easy collection of consumer behavior
data in real time. Typically, these data contain the time at which a consumer engages in a …
data in real time. Typically, these data contain the time at which a consumer engages in a …
Seasonal mortality for fractional ages in short term life insurance
JJ Fernández-Durán… - Scandinavian Actuarial …, 2015 - Taylor & Francis
Fernández-Durán, and Gregorio-Domínguez, Seasonal Mortality for Fractional Ages in Life
Insurance. Scandinavian Actuarial Journal. A uniform distribution of deaths between integral …
Insurance. Scandinavian Actuarial Journal. A uniform distribution of deaths between integral …
Bayesian analysis of circular distributions based on non-negative trigonometric sums
JJ Fernández-Durán… - Journal of Statistical …, 2016 - Taylor & Francis
Fernández-Durán [Circular distributions based on nonnegative trigonometric sums.
Biometrics. 2004; 60: 499–503] developed a new family of circular distributions based on …
Biometrics. 2004; 60: 499–503] developed a new family of circular distributions based on …
Testing for seasonality using circular distributions based on non-negative trigonometric sums as alternative hypotheses
JJ Fernández-Durán… - Statistical methods in …, 2014 - journals.sagepub.com
In medical and epidemiological studies, the importance of detecting seasonal patterns in the
occurrence of diseases makes testing for seasonality highly relevant. There are different …
occurrence of diseases makes testing for seasonality highly relevant. There are different …