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Kappa Regression: An Alternative to Logistic Regression [PDF]

open access: possibleInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2020
In this study, a new regression method called Kappa regression is introduced to model conditional probabilities. The regression function is based on Dombi’s Kappa function, which is well known in fuzzy theory. Here, we discuss how the Kappa function relates to the Logistic function as well as how it can be used to approximate the Logistic function. We
Dombi József, Jónás Tamás
openaire   +3 more sources

An information-theoretic analysis of targeted regressions during reading

open access: yesCognition
Regressions, or backward saccades, are common during reading, accounting for between 5% and 20% of all saccades. And yet, relatively little is known about what causes them.
Ethan Wilcox, Clara Meister
exaly   +2 more sources
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Regression Calibration in Failure Time Regression

Biometrics, 1997
In this paper we study a regression calibration method for failure time regression analysis when data on some covariates are missing or mismeasured. The method estimates the missing data based on the data structure estimated from a validation data set, a random subsample of the study cohort in which covariates are always observed.
Wang, C. Y.   +3 more
openaire   +2 more sources

Boolean regression

Annals of Operations Research, 1995
We take a regression-based approach to the problem of induction, which is the problem of inferring general rules from specific instances. Whereas traditional regression analysis fits a numerical formula to data, we fit a logical formula to boolean data. We can, for instance, construct an expert system for fitting rules to an expert's observed behavior.
Endre Boros   +2 more
openaire   +2 more sources

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