Technical Note: Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data
Statistics of central tendency and dispersion may not capture relevant or desired characteristics of the distribution of continuous phenomena and, thus, they may not adequately describe temporal patterns of change. Here, we present two methodological approaches that can help to identify temporal cha...
Main Authors: | I. Arismendi, S. L. Johnson, J. B. Dunham |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-03-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/19/1169/2015/hess-19-1169-2015.pdf |
Similar Items
-
Multivariate higher-order moments in finance
by: Arismendi, J. C.
Published: (2013) -
Quantifying non-ergodicity of anomalous diffusion with higher order moments
by: Maria Schwarzl, et al.
Published: (2017-06-01) -
SOME STATISTICAL DISTRIBUTIONS, WHICH DESCRIBE THE NANOTOPOGRAPHY OF TECHNICAL SURFACES
by: V.V. Izmailov, et al.
Published: (2020-12-01) -
Theory of the Anomalous Magnetic Moment of the Electron
by: Tatsumi Aoyama, et al.
Published: (2019-02-01) -
Alternative Means of Statistical Data Analysis: L-Moments and TL-Moments of Probability Distributions
by: Diana Bílková
Published: (2014-06-01)