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Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs [PDF]
, 2012 The multinomial logit model is the most widely used model for nominal multi-category responses. One problem with the model is that many parameters are involved, another that interpretation of parameters is much harder than for linear models because the ...
Schauberger, Gunther, Tutz, Gerhard
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A Novel Price Prediction Service for E-Commerce Categorical Data
Mathematics, 2023 Most e-commerce data include items that belong to different categories, e.g., product types on Amazon and eBay. The accurate prediction of an item’s price on an e-commerce platform will facilitate the maximization of economic benefits for the seller and ...
Ahmed Fathalla, Ahmad Salah, Ahmed Ali
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Missing value imputation Techniques: A Survey
UHD Journal of Science and Technology, 2023 Numerous of information is being accumulated and placed away every day. Big quantity of misplaced areas in a dataset might be a large problem confronted through analysts due to the fact it could cause numerous issues in quantitative investigates.
Wafaa Mustafa Hameed, Nzar A. Ali
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Bayesian inference on group differences in multivariate categorical data
, 2017 Multivariate categorical data are common in many fields. We are motivated by election polls studies assessing evidence of changes in voters opinions with their candidates preferences in the 2016 United States Presidential primaries or caucuses.
Durante, Daniele +2 more
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Consequences of Categorical Labeling of Preschool Children [PDF]
, 1988 The use of categorical diagnostic labels prescribed in P.L. 94--142 with children below school age is examined in this article. National practices relative to categorical labeling are reviewed, and questions are posed concerning the consequences of ...
Kerns, Georgia M., Mallory, Bruce L.
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Categorical linkage‐data analysis
Statistics in MedicineAnalysis of integrated data often requires record linkage in order to join together the data residing in separate sources. In case linkage errors cannot be avoided, due to the lack a unique identity key that can be used to link the records unequivocally, standard statistical techniques may produce misleading inference if the linked data are treated as ...
Li‐Chun Zhang, Tiziana Tuoto
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Entropy, 2021 The pervasive presence of artificial intelligence (AI) in our everyday life has nourished the pursuit of explainable AI. Since the dawn of AI, logic has been widely used to express, in a human-friendly fashion, the internal process that led an ...
Mirko Polato, Fabio Aiolli
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An Empirical Comparison of Multiple Imputation Methods for Categorical Data
, 2016 Multiple imputation is a common approach for dealing with missing values in statistical databases. The imputer fills in missing values with draws from predictive models estimated from the observed data, resulting in multiple, completed versions of the ...
Akande, Olanrewaju +2 more
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Testing for Network and Spatial Autocorrelation
, 2020 Testing for dependence has been a well-established component of spatial statistical analyses for decades. In particular, several popular test statistics have desirable properties for testing for the presence of spatial autocorrelation in continuous ...
A Cliff +32 more
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Categorical Functional Data Analysis. The cfda R Package
Mathematics, 2021 Categorical functional data represented by paths of a stochastic jump process with continuous time and a finite set of states are considered. As an extension of the multiple correspondence analysis to an infinite set of variables, optimal encodings of ...
Cristian Preda +2 more
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