Results 11 to 20 of about 1,058,297 (147)
Categorical Data Analysis for High-Dimensional Sparse Gene Expression Data [PDF]
BioTech, 2023 Categorical data analysis becomes challenging when high-dimensional sparse covariates are involved, which is often the case for omics data. We introduce a statistical procedure based on multinomial logistic regression analysis for such scenarios ...
Niloufar Dousti Mousavi +2 more
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Categorical Data Analysis Using a Skewed Weibull Regression Model [PDF]
Entropy, 2018 In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary log–
Renault Caron +3 more
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Review of Visualization Methods for Categorical Data in Cluster Analysis [PDF]
Statistika: Statistics and Economy Journal, 2022 The paper focuses on visualization methods suitable for outcomes of cluster analysis of categorical data (nominal data, specifically). Since nominal data have no inherent order, their graphical representation is often challenging or very limited.
Jana Cibulková, Barbora Kupková
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Categorical data analysis with Practical Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 The main purpose of this study is to find out vectors that can be inserted to the statistical analysis of certain groups of variables which are formed as a result of a certain condition depending on categorical data (i.e. Qualitative variable ).
Furat B. Al-Dassy
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Qualitative - Binary, Nominal and Ordinal Data Analysis in Medical Science
National Journal of Community Medicine, 2022 The outcome of any medical research is belonged to the human beings. The correct application of statistical test has its paramount importance. This article provides the details of categorical data analysis test with example and with its interpretation ...
Swati Patel
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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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Outlier Analysis of Categorical Data using NAVF [PDF]
Informatică economică, 2013 Outlier mining is an important task to discover the data records which have an exceptional behavior comparing with other records in the remaining dataset. Outliers do not follow with other data objects in the dataset.
D. LAKSHMI SREENIVASA REDDY +2 more
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Analysis of Categorical Data with the R Package confreq
Psych, 2021 The person-centered approach in categorical data analysis is introduced as a complementary approach to the variable-centered approach. The former uses persons, animals, or objects on the basis of their combination of characteristics which can be ...
Jörg-Henrik Heine, Mark Stemmler
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Entropy, 2021 We develop Categorical Exploratory Data Analysis (CEDA) with mimicking to explore and exhibit the complexity of information content that is contained within any data matrix: categorical, discrete, or continuous.
Fushing Hsieh +2 more
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Categorical Data Analysis: Fundamentals and Perspective Applications in Health Sciences [PDF]
Journal of Clinical and Diagnostic Research, 2019 This paper introduces the statistical methods for testing differences between paired categorical responses. Application of the independent sample tests while analysing paired data is observed among health science researchers.
Nilima +2 more
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