Non-Gaussian Analysis of Herbarium Specimen Damage to Optimize Specimen Collection Management
نویسندگان
چکیده
Damage to specimen collections occurs in practically every herbarium across the world. Hence, some precautions must be taken, such as investigating factors that cause damage their and evaluating collection handling usage policy. However, manual investigation of causes requires a lot effort time. Only few studies have attempted investigate damage. So far, non-gaussian approach detecting specimens has not been studied before. This study explore effect species type, time, location, storage, remounting status on level specimens, especially those genus Excoecaria. Gaussian modeling is good enough model counted data phenomenon (the amount specimens). Negative binomial regression (NBR) provides better when compared generalized Poisson ordinary approaches. NBR detects non-uniformity storage process, causing specimens. Natural caused by differences origin
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ژورنال
عنوان ژورنال: Knowledge engineering and data science
سال: 2022
ISSN: ['2597-4602', '2597-4637']
DOI: https://doi.org/10.17977/um018v5i12022p1-16