Results 1 to 10 of about 1,060,198 (254)
Frontiers in Sustainable Food Systems, 2023 IntroductionThis study aims to clarify how the unnaturalness of cellular agricultural products can be familiarized to society, using the case of the Japanese public's receptivity to cultured meats. Perceived unnaturalness is a key factor in the rejection
Aiko Hibino +5 more
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The Analysis of Categorical Data
Behaviormetrika, 1976 Some aspect of plitical participation in Japan is the subject of this paper. Three methods are used to analyse categorical data : D-systems analysis, path analysis using coded “values”, and odds ratios with hierarchical modeling. The first two construct causal systems and pretend no interaction.
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The Problem of Zero Cells in the Analysis of Contingency Tables
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2015 Log-linear analysis is a statistical tool used to analyse the independence of categorical data in contingency tables. With this method, any number of nominal or ordinal variables can be analysed: interactions can be included in the model, various types ...
Justyna Brzezińska
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Application of variance analysis in experimental pharmacology
Фармакокинетика и Фармакодинамика, 2023 The article discusses various types of variance analysis: one-factor, two-factor, repeated measurements, including detailed analysis of variance categorical data.
I. B. Tsorin
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Categorical Data Clustering: A Bibliometric Analysis and Taxonomy
Machine Learning and Knowledge ExtractionNumerous real-world applications apply categorical data clustering to find hidden patterns in the data. The K-modes-based algorithm is a popular algorithm for solving common issues in categorical data, from outlier and noise sensitivity to local optima ...
Maya Cendana, Ren-Jieh Kuo
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SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
Barekeng, 2022 Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal
Karunia Eka Lestari +2 more
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Factor Analysis for Categorical Data
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980 Summary The method of factor analysis is widely used as an exploratory tool to reduce the dimensionality of multivariate data. The fact that the standard model is strictly applicable only when the manifest variables are scaled is a serious limitation in social science where the variables are often categorical.
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Evaluating shops efficiency using data envelopment analysis: Categorical approach [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2008 The article introduces Data Envelopment Analysis (DEA) and its applicability as mathematical programming technique. It evaluates the performance of homogeneous operating decision-making units. DEA has been proven as valuable performance evaluation method
Alemka Šegota
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Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19
Cumhuriyet Science JournalStatistical analysis of COVID-19 data from China and NYC, using log-linear models, helps identifying high-risk groups like those aged over 65 and individuals with chronic health issues.
Serpil Aktaş, Gokcen Altun
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Comparison of Land Cover Categorical Data Stored in OSM and Authoritative Topographic Data
Applied Sciences, 2023 This study aims at a comparative analysis of quantitative data, namely, OSM and BDOT10k. Analyses were conducted in a 1 km2 hexagonal grid, in seven test counties located in different regions of Poland, differing in the degree of urbanization, land cover
Sylwia Borkowska +2 more
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