Discriminant analysis

From Glossary of Meteorology



discriminant analysis[edit | edit source]

A variation of multiple linear regression analysis for prediction of the occurrence or nonoccurrence of an event.

To account for the nonnumerical nature of the predictand, a discriminant function is used as a type of regression function usually derived in such a way that positive values of the function correspond to "occurrence" and negative values to "nonoccurrence." In meteorology, for example, the occurrence of precipitation (the predictand) can be related to measures of vertical velocity, dewpoint temperature, pressure change, and other variables (the predictors) through a discriminant function. Values of the function above or below a threshold value (typically, zero) can be used to predict precipitation occurrence.


Copyright 2024 American Meteorological Society (AMS). For permission to reuse any portion of this work, please contact permissions@ametsoc.org. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act (17 U.S. Code § 107) or that satisfies the conditions specified in Section 108 of the U.S.Copyright Act (17 USC § 108) does not require AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, require written permission or a license from AMS. Additional details are provided in the AMS Copyright Policy statement.