Chi-squared tests using local inhomogeneous mark-weighted K-functions can identify global and local deviations from null hypotheses in marked point patterns, even with subtle structures or small samples.
Journal of Computational and Graphical Statistics , volume =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
Chi-squared tests using local inhomogeneous mark-weighted K-functions can identify global and local deviations from null hypotheses in marked point patterns, even with subtle structures or small samples.