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An Exploratory Technique for Investigating Large Quantities of Categorical Data
G. V. Kass
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 29, No. 2 (1980), pp. 119-127
Stable URL: http://www.jstor.org/stable/2986296
Page Count: 9
You can always find the topics here!Topics: Mathematical dependent variables, Statism, School admission, Algorithms, Simulations, College students, Null hypothesis, Dynamic programming, Applied statistics, Statistics
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The technique set out in the paper, CHAID, is and offshoot of AID (Automatic Interaction Detection) designed for a categorized dependent variable. Some important modifications which are relevant to standard AID include: built-in significance testing with the consequence of using the most significant predictor (rather than the most explanatory), multi-way splits (in contrast to binary) and a new type of predictor which is especially useful in handling missing information.
Journal of the Royal Statistical Society. Series C (Applied Statistics) © 1980 Royal Statistical Society