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The threshold method for estimating total rainfall

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Publication:1817389
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DOI10.1007/BF00054785zbMath0857.62104MaRDI QIDQ1817389

Shigeru Mase

Publication date: 6 March 1997

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)


zbMATH Keywords

phase transitionmeteorologylinear regressionlattice gas modelnon-ergodicitythreshold methodmarked spatial point processcorrelation formulaGibbsian processradar observation data setstotal rainfall


Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics (62P99) Meteorology and atmospheric physics (86A10)


Related Items

Empirical mark covariance and product density function of stationary marked point processes -- a survey on asymptotic results, Modelling marked point patterns by intensity-marked Cox processes, Design-based mapping for finite populations of marked points, Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data, Empirical distributions in marked point processes



Cites Work

  • A covariance estimate for Gibbs measures
  • On the central limit theorem for stationary mixing random fields
  • Stochastic processes on a lattice and Gibbs measures. Transl. from the French by Bertram Eugene Schwarzbach
  • Gibbs measures and phase transitions
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