Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Jean François Durand"'
Publikováno v:
Quality & Quantity. 51:813-827
Justice court delay is found to be consistently related to pending workload per judge, as well, output per judge (productivity) is found to be strongly related to demand pressure (total available workload) and size of court. The aim of this paper is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9823b79e65e34a3fc890a0672404fcd2
https://doi.org/10.1007/s11135-016-0441-z
https://doi.org/10.1007/s11135-016-0441-z
Publikováno v:
Journal of Chemometrics. 23:605-617
In the literature, much effort has been put into modeling dependence among variables and their interactions through nonlinear transformations of predictive variables. In this paper, we propose a nonlinear generalization of Partial Least Squares (PLS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f46f43f017f463dcc6910c842faa47
https://doi.org/10.1002/cem.1260
https://doi.org/10.1002/cem.1260
Autor:
Jacques Avelino, Sandrine Cabut, Miguel Barquero, Ronny Alfaro, César Esquivel, Jean-François Durand, Christian Cilas, Bernardo Barboza
Publikováno v:
Phytopathology
Avelino, J., Cabut, S., Barboza, B., Barquero, M., Alfaro, R., Esquivel, C., Durand, J.-F., and Cilas, C. 2007. Topography and crop management are key factors for the development of American leaf spot epidemics on coffee in Costa Rica. Phytopathology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c76c5b4395a508110e92a7e94d617418
https://doi.org/10.1094/phyto-97-12-1532
https://doi.org/10.1094/phyto-97-12-1532
In literature the problem of detecting “outlying” observations in regression model where the predictors could be affected by multicollinearity has been faced using robust procedures for Partial Least Squares regression model (PLS; Hubert et al.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3977::57a1551d7907b56d7d5acabb40ef623d
http://hdl.handle.net/11591/383780
http://hdl.handle.net/11591/383780
Publikováno v:
Computational Statistics & Data Analysis. 45:159-178
Using a B-spline representation for splines with knots seen as free variables, the approximation to data by splines improves greatly. The main limitations are the presence of too many local optima in the univariate regression context, and it becomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43fef632b6bba44f72d3c59d53b08a88
https://doi.org/10.1016/s0167-9473(02)00343-2
https://doi.org/10.1016/s0167-9473(02)00343-2
Autor:
Jean-François Durand
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 58:235-246
We present a recently devised extension of the linear Partial Least Squares (PLS) model to the nonlinear additive through the transformation of predictors by polynomial spline functions that we call Partial Least Squares Splines (PLSS). Suitable tuni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71efa062fe2dd38cfedc1dcc1e16abcc
https://doi.org/10.1016/s0169-7439(01)00162-9
https://doi.org/10.1016/s0169-7439(01)00162-9
Publikováno v:
Statistics in Medicine. 20:237-247
The Cox proportional hazards model restricts the hazard ratio to be linear in the covariates. A survival model based on data from a clinical trial is developed using spline functions with variable knots to estimate the log hazard function. Moreover,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb7725fb1d3e5af2e8ffd0b1a9f0e02
https://doi.org/10.1002/1097-0258(20010130)20:2<237::aid-sim654>3.0.co
https://doi.org/10.1002/1097-0258(20010130)20:2<237::aid-sim654>3.0.co