On Modeling Wood Formation Using Parametric and Semiparametric Regressions for Count Data-Reference-Cited by-同舟云学术

On Modeling Wood Formation Using Parametric and Semiparametric Regressions for Count Data

Published:2016-04-23 Issue:5 Volume:45 Page:1748-1762
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Cuny Henri E.¹,Senga Kiessé Tristan²

Affiliation:

1. INRA, UMR1092, Laboratoire d Etude des Ressources Foret Bois (LERFoB), Centre INRA de Nancy, Champenoux, France

2. L Université Nantes Angers Le Mans (LUNAM), Chaire Génie Civil Eco-construction, Institut de Recherche en Génie Civil et Mécanique GeM UMR-CNRS 6183, Saint-Nazaire, France

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2013.875570

Reference27 articles.

1. On semiparametric regression for count explanatory variables

2. A semiparametric method of boundary correction for kernel density estimation

3. Life strategies in intra-annual dynamics of wood formation: example of three conifer species in a temperate forest in north-east France

4. Generalized additive models reveal the intrinsic complexity of wood formation dynamics

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1. Photoperiod drives cessation of wood formation in northern conifers;Global Ecology and Biogeography;2023-02-19

2. Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data;Computational Statistics;2015-10-20