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The bivariate lognormal distribution for describing joint statistical properties of a multivariate storm event
Author(s) -
Yue Sheng
Publication year - 2002
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/env.483
Subject(s) - joint probability distribution , log normal distribution , storm , bivariate analysis , marginal distribution , multivariate statistics , event (particle physics) , statistics , mathematics , conditional probability distribution , copula (linguistics) , joint (building) , multivariate normal distribution , econometrics , meteorology , geography , engineering , architectural engineering , physics , quantum mechanics , random variable
The bivariate lognormal distribution is proposed as a model for the joint distribution of storm peak (maximum rainfall intensity) and storm amount. Using the marginal distributions, the joint distribution, the conditional distributions, and the associated return periods are derived. The model is found appropriate for representing multiple episodic storm events at the Motoyama meteorological observation station in Japan. Copyright © 2002 John Wiley & Sons, Ltd.