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Mathematical assessment of synthetic hydrology
Author(s) -
Matalas N. C.
Publication year - 1967
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr003i004p00937
Subject(s) - multivariate statistics , lag , statistics , mathematics , multivariate analysis , econometrics , hydrology (agriculture) , environmental science , computer science , geology , geotechnical engineering , computer network
To generate multivariate synthetic sequences that will resemble multivariate historic sequences in terms of means, standard deviations, skewnesses, lag‐one serial correlation, and lag‐zero cross‐correlations, a multivariate, weakly stationary process is used. Techniques of regionalization and maximum likelihood estimates may be used to minimize the biases associated with the estimates of the parameters that characterize the historic sequences.