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煤炭开采和洗选业年平均从业人数预测研究——基于灰色系统GM(1,1)模型 被引量:2
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作者 李娜 《煤炭经济研究》 2012年第11期60-63,共4页
把煤炭开采和洗选业年平均从业人数视为一个灰色系统。建立灰色GM(1,1)模型,对模型进行相对误差检验、灰色关联度检验、后验差检验、小误差概率检验、级比偏差检验,通过检验得到所建模型预测精度为一级。用此模型对"十二五"... 把煤炭开采和洗选业年平均从业人数视为一个灰色系统。建立灰色GM(1,1)模型,对模型进行相对误差检验、灰色关联度检验、后验差检验、小误差概率检验、级比偏差检验,通过检验得到所建模型预测精度为一级。用此模型对"十二五"期间的年平均从业人数进行预测。 展开更多
关键词 平均从业人数 灰色系统GM(1 1) 预测 煤炭行业
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西城区未雨绸缪定措施
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《数据》 2005年第2期47-47,共1页
西城区在全面完成经济普查数据上报阶段首批执法检查任务后.针对检查中发现的问题.及时与劳动报酬总额在100万元以上的单位取得联系.要求单位进一步核查“劳动报酬总额”和“年平均人数”两项指标。对要求更正错误的单位.各级普查... 西城区在全面完成经济普查数据上报阶段首批执法检查任务后.针对检查中发现的问题.及时与劳动报酬总额在100万元以上的单位取得联系.要求单位进一步核查“劳动报酬总额”和“年平均人数”两项指标。对要求更正错误的单位.各级普查机构积极配合.提供方便。 展开更多
关键词 西城区 经济普查 统计数据 统计指标 普查机构 劳动报酬总额 年平均人数
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Fatal motorcycle accidents in Fars Province, Iran: a com- munity-based survey 被引量:6
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作者 Seyed Taghi Heydari Najmeh Maharlouei +11 位作者 Aft Foroutan Yaser Sarikhani Fariborz Ghaffarpasand Arya Hedjazi Mohammad Zarenezhad Ghasem Moafian Mohammad Reza Aghabeigi Payam Peymani Seyed Mehdi Ahmadi Maryam Dehghankhalili Hassan Joulaei Kamran B. Lankarani 《Chinese Journal of Traumatology》 CAS 2012年第4期222-227,共6页
Objective: To identify the main character- istics of victims of motorcycle accidents in Fars Province, Iran. Methods: This cross-sectional study was conducted in Fars Province which has the fourth largest populatio... Objective: To identify the main character- istics of victims of motorcycle accidents in Fars Province, Iran. Methods: This cross-sectional study was conducted in Fars Province which has the fourth largest population of all 31 provinces in Iran from March 2009 to June 2010. We included data from all 542 recorded cases of fatalities due to motor vehicle accidents. Data were recorded from the foren- sic medicine registry consisting of demographic and acci- dent-related information. Demographic information con- sisted of name, age, sex, status of fatal victim (motorcycle driver vs passenger) and educational level. Results: Of the 2 345 autopsy records from the foren- sic medicine archives, 542 (23.1%) gave the cause of death as motor vehicle accidents. Mean age of these victims was (31.4±16.5) years, and the male to female ratio was 28. Head injury was the most common cause of death in these victims, and overall they tended to have a low level of education. Motorcycle accidents frequently involved younger age groups (15-35 years), and head trauma related with non-use of a helmet was the most common cause of death. Conclusions: Head injury is frequent among victims in the province we studied. This situation may be related to the victims' low socioeconomic status and little education regarding traffic laws leading to speeding and disregard of these laws along with their weak enforcement. 展开更多
关键词 Accidents traffic Motorcycles Iran
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