Self‐normalization for Spatial Data

DOI10.1111/sjos.12028OpenAlexW2095810260MaRDI QIDQ5418627

Bo Li, Xianyang Zhang, Xiao-Feng Shao

Publication date: 26 May 2014

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/sjos.12028

zbMATH Keywords

random fieldsubsamplingincreasing domain asymptoticsspatial point processself-normalization

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Unnamed Item, Kolmogorov-Smirnov type testing for structural breaks: a new adjusted-range based self-normalization approach, A review of nonparametric hypothesis tests of isotropy properties in spatial data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric resampling for homogeneous strong mixing random fields
• Resampling methods for dependent data
• On optimal spatial subsample size for variance estimation
• Sample functions of the Gaussian process
• Kahane-Khintchine inequalities and functional central limit theorem for stationary random fields.
• Moment Estimation for Statistics from Marked Point Processes
• Testing the covariance structure of multivariate random fields
• Point and Interval Estimation of Variogram Models Using Spatial Empirical Likelihood
• Testing That a Dependent Process Is Uncorrelated
• Exponential inequalities and functional central limit theorems for random fields
• Least Squares Variogram Fitting by Spatial Subsampling
• Statistics for Spatial Data
• A Nonparametric Assessment of Properties of Space–Time Covariance Functions
• A Note on Quantiles in Large Samples
• A Nonparametric Test for Spatial Isotropy Using Subsampling