{"title":"利用Eggenberger-Polya分布作为印度奥里萨邦北部干旱期分析的备选模型","authors":"Tapan Kumar Malik, A. K. Mangaraj, L. N. Sahoo","doi":"10.9734/ajpas/2023/v25i2550","DOIUrl":null,"url":null,"abstract":"In this paper, Eggenberger–Polya distribution has been preferred as an alternative to a 2-state Markov Chain model for characterizing persistence behaviour of dry spell for Northern Odisha, India during south-west monsoon season. An attempt has been made to compare performance of the two competing models with reference to their strength to fit the empirical distribution of dry spell length under two goodness-of-fit criteria.","PeriodicalId":8532,"journal":{"name":"Asian Journal of Probability and Statistics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using of Eggenberger–Polya Distribution as an Alternative Model for Dry Spell Analysis in Northern Odisha, India\",\"authors\":\"Tapan Kumar Malik, A. K. Mangaraj, L. N. Sahoo\",\"doi\":\"10.9734/ajpas/2023/v25i2550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, Eggenberger–Polya distribution has been preferred as an alternative to a 2-state Markov Chain model for characterizing persistence behaviour of dry spell for Northern Odisha, India during south-west monsoon season. An attempt has been made to compare performance of the two competing models with reference to their strength to fit the empirical distribution of dry spell length under two goodness-of-fit criteria.\",\"PeriodicalId\":8532,\"journal\":{\"name\":\"Asian Journal of Probability and Statistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Probability and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ajpas/2023/v25i2550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajpas/2023/v25i2550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using of Eggenberger–Polya Distribution as an Alternative Model for Dry Spell Analysis in Northern Odisha, India
In this paper, Eggenberger–Polya distribution has been preferred as an alternative to a 2-state Markov Chain model for characterizing persistence behaviour of dry spell for Northern Odisha, India during south-west monsoon season. An attempt has been made to compare performance of the two competing models with reference to their strength to fit the empirical distribution of dry spell length under two goodness-of-fit criteria.
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