An extension of Monte Carlo hypothesis tests

DOI10.1080/03610918.2016.1208232zbMath1388.62135OpenAlexW2513262632MaRDI QIDQ4638843

Celeste Jeffs, Rolf Turner

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1208232

zbMATH Keywords

monotonicitypowermixturespoint massBarnard's test

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05)

Uses Software

• R
• spatstat

Cites Work

• Fast approximation of the intensity of Gibbs point processes
• Practical Maximum Pseudolikelihood for Spatial Point Patterns
• P Values for Composite Null Models
• Asymptotic Distribution of P Values in Composite Null Models
• Statistical Analysis and Modelling of Spatial Point Patterns
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