Prediction Models in Configural Frequency Analysis

Prediction Models in Configural Frequency Analysis Configural frequency analysis models are presented for predicting a discrete criterion variable from combining 2 or more discrete predictor variables nonparametrically. Predictions are made via so‐called prediction types which allow to predict a criterion class from combined predictor classes. Prediction types are implicitely defined as cells of a 2‐dimensional contingeney table with rows as predictor combinations and columns as criterion classes. The CFA is extended for two criteria, and for stratified sampling. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrical Journal Wiley

Prediction Models in Configural Frequency Analysis

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Publisher
Wiley
Copyright
Copyright © 1979 WILEY‐VCH Verlag GmbH & Co. KGaA
ISSN
0323-3847
eISSN
1521-4036
DOI
10.1002/bimj.4710210110
Publisher site
See Article on Publisher Site

Abstract

Configural frequency analysis models are presented for predicting a discrete criterion variable from combining 2 or more discrete predictor variables nonparametrically. Predictions are made via so‐called prediction types which allow to predict a criterion class from combined predictor classes. Prediction types are implicitely defined as cells of a 2‐dimensional contingeney table with rows as predictor combinations and columns as criterion classes. The CFA is extended for two criteria, and for stratified sampling.

Journal

Biometrical JournalWiley

Published: Jan 1, 1979

References

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