Data/hora: 10/06/2024 08:24:05

Provedor de dados: | 31
País: | United States
Título: | Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure
Autores: | Lien,   Gudbrand D.; Hardaker,   J. Brian; Richardson,   James W.
Data: | 2006-06-07
Ano: | 2006
Palavras-chave: | Stochastic simulation; Smoothing; Multivariate kernel estimator; Parzen; Research Methods/ Statistical Methods; Q12; C8.
Resumo: | Often analysts must conduct risk analysis based on a small number of observations. This paper describes and illustrates the use of a kernel density estimation procedure to smooth out irregularities in such a sparse data set for simulating univariate and multivariate probability distributions.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês

Identificador:

22113

http://purl.umn.edu/25449

Editor: | AgEcon Search

Relação:

International Association of Agricultural Economists&gt;2006 Annual Meeting, August 12-18, 2006, Queensland, Australia

Poster Paper

Formato:

17

application/pdf