Application of spatial auto-beta models in statistical classification
In this paper, spatial data specified by auto-beta models is analysed by considering a supervised classification problem of classifying feature observation into one of two populations. Two classification rules based on conditional Bayes discriminant function (BDF) and linear discriminant function (L...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius University Press
2021-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.zurnalai.vu.lt/LMR/article/view/25219 |
| _version_ | 1819062478234976256 |
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| author | Eglė Zikarienė Kęstutis Dučinskas |
| author_facet | Eglė Zikarienė Kęstutis Dučinskas |
| author_sort | Eglė Zikarienė |
| collection | DOAJ |
| description | In this paper, spatial data specified by auto-beta models is analysed by considering a supervised classification problem of classifying feature observation into one of two populations. Two classification rules based on conditional Bayes discriminant function (BDF) and linear discriminant function (LDF) are proposed. These classification rules are critically compared by the values of the actual error rates through the simulation study. |
| first_indexed | 2024-12-21T14:59:25Z |
| format | Article |
| id | doaj.art-c36cde29595d4c49b994bdb9f44f95d4 |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-12-21T14:59:25Z |
| publishDate | 2021-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-c36cde29595d4c49b994bdb9f44f95d42022-12-21T18:59:38ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2021-12-0162A10.15388/LMR.2021.25219Application of spatial auto-beta models in statistical classificationEglė Zikarienė0Kęstutis Dučinskas1Vilnius UniversityKlaipeda UniversityIn this paper, spatial data specified by auto-beta models is analysed by considering a supervised classification problem of classifying feature observation into one of two populations. Two classification rules based on conditional Bayes discriminant function (BDF) and linear discriminant function (LDF) are proposed. These classification rules are critically compared by the values of the actual error rates through the simulation study.https://www.zurnalai.vu.lt/LMR/article/view/25219Bayes discriminant functionlinear discriminant functionactual error ratesupervised classification |
| spellingShingle | Eglė Zikarienė Kęstutis Dučinskas Application of spatial auto-beta models in statistical classification Lietuvos Matematikos Rinkinys Bayes discriminant function linear discriminant function actual error rate supervised classification |
| title | Application of spatial auto-beta models in statistical classification |
| title_full | Application of spatial auto-beta models in statistical classification |
| title_fullStr | Application of spatial auto-beta models in statistical classification |
| title_full_unstemmed | Application of spatial auto-beta models in statistical classification |
| title_short | Application of spatial auto-beta models in statistical classification |
| title_sort | application of spatial auto beta models in statistical classification |
| topic | Bayes discriminant function linear discriminant function actual error rate supervised classification |
| url | https://www.zurnalai.vu.lt/LMR/article/view/25219 |
| work_keys_str_mv | AT eglezikariene applicationofspatialautobetamodelsinstatisticalclassification AT kestutisducinskas applicationofspatialautobetamodelsinstatisticalclassification |