A permutation approach to the analysis of spatiotemporal geochemical data in the presence of heteroscedasticity-Reference-Cited by-同舟云学术

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A permutation approach to the analysis of spatiotemporal geochemical data in the presence of heteroscedasticity

Published:2019-12-20 Issue:4 Volume:31 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Římalová Veronika¹^ORCID,Menafoglio Alessandra²^ORCID,Pini Alessia³^ORCID,Pechanec Vilém⁴^ORCID,Fišerová Eva¹^ORCID

Affiliation:

1. Department of Mathematical Analysis and Applications of Mathematics, Faculty of SciencePalacký University Olomouc Olomouc Czech Republic

2. MOX (Laboratory for Modeling and Scientific Computing), Department of MathematicsPolitecnico di Milano Milan Italy

3. Department of Statistical SciencesUniversità Cattolica del Sacro Cuore Milan Italy

4. Department of Geoinformatics, Faculty of SciencePalacký University Olomouc Olomouc Czech Republic

Funder

Palacký University Olomouc through the Mathematical Models of the Internal Grant Agency

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2611

Reference41 articles.

1. Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament

2. Permutation Tests for Linear Models

3. Estimation of a change-point in the mean function of functional data

4. Modeling spatial anisotropy via regression with partial differential regularization

5. A penalized regression model for spatial functional data with application to the analysis of the production of waste in Venice province

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1. Modelling the driving speed on expressway ramps based on floating car data;Measurement;2022-05

2. Inference for spatial regression models with functional response using a permutational approach;Journal of Multivariate Analysis;2021-11

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