[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3HHMb-1sujNvPLo2WcQRbglJmeI2fYxqPlWHqjT2dfQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":27,"type":32},[],"2023-05-08 09:56:53",898397862,[8,9,10,11],"10.375","10.125","5.125","15.375",{"courseId":13,"courseImg":14,"courseName":15,"workId":16,"workName":17},"1000012414","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb3d51a718b94147982567c49d1c33098.jpg","[共享课]时间序列分析","41723143","时间序列分析教程考试","对某一观察值序列\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F86f318d1409202cbece9c97f22b5e594.png\">使用简单指数平滑法.已知\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe047d98e9ac798c2746b97493d8cd22d.png\">, \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F73747dec4a82ed51fb128dd28d063af1.png\">,平滑系数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F08a54fdcdfc628274ec04d0261a8881a.png\">.则2期预测值\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff8e6a7cb21da4e812c5b49dd761cd6c0.png\">为( )",[20,29,33,38,43,48,57,62,67,77],{"answer":21,"createTime":5,"id":22,"options":23,"question":26,"source":27,"type":28},[],898397859,[24,25],"对","错","简单中心移动平均比值能有效提取季节效应.( )","v2",3,{"answer":30,"createTime":5,"id":6,"options":31,"question":18,"source":27,"type":32},[],[8,9,10,11],0,{"answer":34,"createTime":5,"id":35,"options":36,"question":37,"source":27,"type":28},[],898397865,[24,25],"简单指数平滑法可以很好地预测无长期趋势,却有季节效应的时间序列.( )",{"answer":39,"createTime":5,"id":40,"options":41,"question":42,"source":27,"type":28},[],898397866,[24,25],"Henderson加权移动平均的期数选择取决于序列的波动幅度.序列的波动幅度越大,期数选得越大.( )",{"answer":44,"createTime":5,"id":45,"options":46,"question":47,"source":27,"type":28},[],898397867,[24,25],"X-11 季节调整模型是基于三大类移动平均方法,并在计算过程中使用了多次移动平均反复迭代进行确定性因素分解.( )",{"answer":49,"createTime":5,"id":50,"options":51,"question":56,"source":27,"type":32},[],898397871,[52,53,54,55],"0.25","0.3","0.2","0.4","使用简单指数平滑预测模型得到向前3期的预测值\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2153592182b452c603336383b7172e47.png\">,且已知\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0b860ae6b701605a529a9dddfeba859a.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8e0366eed87da740049e0e18cd96e1d8.png\">,则平滑系数\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F205f3309b542102a09671f929ae59b9f.png\">为( )",{"answer":58,"createTime":5,"id":59,"options":60,"question":61,"source":27,"type":28},[],898397873,[24,25],"确定性时序分析能够克服其他因素的干扰,单纯测度出某个确定性因素对序列的影响.( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":66,"source":27,"type":28},[],898397875,[24,25],"如果序列\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F86f318d1409202cbece9c97f22b5e594.png\">平稳,不存在单位根,这时称序列\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F86f318d1409202cbece9c97f22b5e594.png\">为零阶单整序列,简记为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F884629b4ee1e8b3188b507852a059ed2.png\">.( )",{"answer":68,"createTime":5,"id":69,"options":70,"question":75,"source":27,"type":76},[],898397879,[71,72,73,74],"一定是非平稳序列","可能是平稳序列","一定是平稳序列","可能是非平稳序列","如果序列\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F86f318d1409202cbece9c97f22b5e594.png\">和\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe80db0f9388bcbdb648768a36372a9e7.png\">都是非平稳序列,则\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F3f1a09edde98b304e19e98e6d001c3f2.png\">( )",1,{"answer":78,"createTime":5,"id":79,"options":80,"question":81,"source":27,"type":28},[],898397884,[24,25],"对趋势平稳序列最好是通过拟合线性模型来提取序列中的相关关系,以实现残差序列平稳.( )"]