A study on discriminant analysis techniques applied to multivariate lognormal data

DOI10.1080/00949658608810950zbMath0609.62103OpenAlexW1995168155MaRDI QIDQ3749968

Robert R. Rawlings, Michael J. Eckardt, Barry I. Graubard, Vivian B. Faden

Publication date: 1986

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658608810950

zbMATH Keywords

simulationskewed distributionsmultivariate normalmisclassification rateslinear and quadratic discriminant analysisdiscrimination methodsfixed kernel discriminant analysisinverse normal scores datamultivariate lognormal dataoptimal error ratesrank transformed datavariable kernel discriminant analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probabilistic methods, stochastic differential equations (65C99)

Related Items (1)

Classification of cyclical time series using complex demodulation

Cites Work

• Unnamed Item
• How non-normality affects the quadratic discriminant function
• The rank transformation as a method of discrimination with some examples
• A simulative comparison of linear, quadratic and kernel discrimination
• The johnson translation system in monte carlo studies
• Variable Kernel Estimates of Multivariate Densities
• Robustness of the linear and quadratic discriminant function to certain types of non‐normality

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