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RANDOM PROCESS METHODS AND ENVIRONMENTAL DATA: THE 1996 HUNTER LECTURE
Author(s) -
BRILLINGER DAVID R.
Publication year - 1997
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/(sici)1099-095x(199707)8:4<269::aid-env255>3.0.co;2-5
Subject(s) - point process , environmental data , stochastic process , process (computing) , random effects model , econometrics , point (geometry) , computer science , monotonic function , statistics , environmental science , mathematics , medicine , mathematical analysis , meta analysis , geometry , political science , law , operating system
Random processes are basic to the study of environmental data, particularly data in time and space. This work presents three data analyses based on random process models: (a) a trend analysis, based on fitting a monotonic trend to river heights; (b) an analysis of point process data, with ordinal‐valued marks, for damage assessment following an earthquake, and (c) an analysis of spatial‐temporal meteorological data to estimate the speed of motion of a 500 mbar surface. There is discussion of stochastic processes generally.© 1997 John Wiley & Sons, Ltd.