Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data

Garcia-Papani, F, Leiva, V, Uribe-Opazo, MA et al. (1 more author) (2018) Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data. Chemometrics and Intelligent Laboratory Systems, 177. pp. 114-128. ISSN 0169-7439

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Copyright, Publisher and Additional Information: © 2018 Elsevier B.V. This is an author produced version of a paper published in Chemometrics and Intelligent Laboratory Systems. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Geochemical data analysis; Global and local influence; Matérn model; Maximum likelihood methods; Non-normality; R software
Dates:
  • Published: 15 June 2018
  • Accepted: 22 March 2018
  • Published (online): 29 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Mar 2018 16:29
Last Modified: 29 Mar 2019 01:43
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.chemolab.2018.03.012

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