{"title":"logit模型在损伤经验数据中的应用","authors":"J. Maiti, A. Bhattacherjee, U. C. Gupta, S. Ray","doi":"10.1142/S0950609899000244","DOIUrl":null,"url":null,"abstract":"The influence of various casual factors on the severity of injury was examined using the 4-year injury data from a group of underground coal mines. Although there are many factors that could affect the injury severity: miners' age, experience, occupation, injury-location, shift-time and specific-mine were chosen as the affecting variables. The logit model was applied for this analysis. The bivariate analysis was conducted to separately study the effect of each of the factors on the severity of injury and to estimate the odds of severe injuries. For the case study mines, it was concluded that the injury severity varies by age, occupation, injury-location, shift-time and specific-mine. However, experience in general does not have any significant effect on it.","PeriodicalId":195550,"journal":{"name":"Mineral Resources Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"AN APPLICATION OF LOGIT MODEL TO INJURY EXPERIENCE DATA\",\"authors\":\"J. Maiti, A. Bhattacherjee, U. C. Gupta, S. Ray\",\"doi\":\"10.1142/S0950609899000244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The influence of various casual factors on the severity of injury was examined using the 4-year injury data from a group of underground coal mines. Although there are many factors that could affect the injury severity: miners' age, experience, occupation, injury-location, shift-time and specific-mine were chosen as the affecting variables. The logit model was applied for this analysis. The bivariate analysis was conducted to separately study the effect of each of the factors on the severity of injury and to estimate the odds of severe injuries. For the case study mines, it was concluded that the injury severity varies by age, occupation, injury-location, shift-time and specific-mine. However, experience in general does not have any significant effect on it.\",\"PeriodicalId\":195550,\"journal\":{\"name\":\"Mineral Resources Engineering\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mineral Resources Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0950609899000244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mineral Resources Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0950609899000244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AN APPLICATION OF LOGIT MODEL TO INJURY EXPERIENCE DATA
The influence of various casual factors on the severity of injury was examined using the 4-year injury data from a group of underground coal mines. Although there are many factors that could affect the injury severity: miners' age, experience, occupation, injury-location, shift-time and specific-mine were chosen as the affecting variables. The logit model was applied for this analysis. The bivariate analysis was conducted to separately study the effect of each of the factors on the severity of injury and to estimate the odds of severe injuries. For the case study mines, it was concluded that the injury severity varies by age, occupation, injury-location, shift-time and specific-mine. However, experience in general does not have any significant effect on it.