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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Software - Statistical Inference for Random Fields (SIRF)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Feb 2024Publisher:Zenodo
Authors: Fabian Telschow;
Code repository: https://github.com/ftelschow/SIRF/tree/SIRF

doi: 10.5281/zenodo.10723835 , 10.5281/zenodo.10723836

Software - Statistical Inference for Random Fields (SIRF)

Abstract

This R-package contains functions for Statistical Inference of Random Fieldsusing mainly the Gaussian Kinematic Formula. It depends on the R-packageRFT.In particular, it contains the simulation code for the articleTelschow, F. J., Davenport, S., & Schwartzman, A. (2022).Functional delta residuals and applications to simultaneous confidence bands of moment based statistics.Journal of Multivariate Analysis, 192, 105085.which has partially be funded by Deutsche Forschungsgemeinschaft (DFG) under Ex-cellence Strategy The Berlin Mathematics Research Center MATH+ (EXC-2046/1, projectID:390685689)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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