Testing for Normality in Geostatistics. A New Approach Based on the Mahalanobis Distance

Simple kriging is a best linear predictor (BLP) and ordinary kriging is a best linear unbiased predictor (BLUP). When the underlying process is normal, simple kriging is not only a BLP but a best predictor (BT) as well, that is, under squared loss, this predictor coincides with the conditional expec...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2022

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

spa

OAI Identifier:

oai:repositorio.uptc.edu.co:001/15334

Acceso en línea:

https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13650
https://repositorio.uptc.edu.co/handle/001/15334

Palabra clave:

Distribución chi-cuadrado, distribución normal multivariada, distancia de Mahalanobis, prueba de normalidad, campo aleatorio, simulación de Monte Carlo
Chi-square distribution, Multivariate normal distribution, Mahalanobis distance, Normality test, Random field, Monte Carlo simulation.

Rights

License

http://purl.org/coar/access_right/c_abf2