Self-normalization for Spatial Data
Author:
Affiliation:
1. Department of Statistics; University of Missouri-Columbia
2. Department of Statistics; University of Illinois at Urbana-Champaign
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/sjos.12028/fullpdf
Reference23 articles.
1. A note on quantiles in large samples;Bahadur;Ann. Statist.,1966
2. On expectation of some functions of poisson variates;Bartko;Biometrics,1968
3. Convergence of Probability Measures
4. Statistics for Spatial Data
5. Exponential inequalities and functional central limit theorems for random fields;Dedecker;ESAIM Probab. Stat.,2001
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4. Testing for Structural Breaks – A New Self-Normalization Approach Based on the Adjusted Sample Range;SSRN Electronic Journal;2021
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