[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fZPjgUkCkvt1D0xqZJAzlLUCRWLwXORMTvlaRQIQbNX0":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":16,"related":17,"source":23,"type":24},[],"2023-05-08 09:56:53",898397875,[8,9],"对","错",{"courseId":11,"courseImg":12,"courseName":13,"workId":14,"workName":15},"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","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\">.( )",[18,25,35,40,45,50,59,64,67,77],{"answer":19,"createTime":5,"id":20,"options":21,"question":22,"source":23,"type":24},[],898397859,[8,9],"简单中心移动平均比值能有效提取季节效应.( )","v2",3,{"answer":26,"createTime":5,"id":27,"options":28,"question":33,"source":23,"type":34},[],898397862,[29,30,31,32],"10.375","10.125","5.125","15.375","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( )",0,{"answer":36,"createTime":5,"id":37,"options":38,"question":39,"source":23,"type":24},[],898397865,[8,9],"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":41,"createTime":5,"id":42,"options":43,"question":44,"source":23,"type":24},[],898397866,[8,9],"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":46,"createTime":5,"id":47,"options":48,"question":49,"source":23,"type":24},[],898397867,[8,9],"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":51,"createTime":5,"id":52,"options":53,"question":58,"source":23,"type":34},[],898397871,[54,55,56,57],"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":60,"createTime":5,"id":61,"options":62,"question":63,"source":23,"type":24},[],898397873,[8,9],"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":65,"createTime":5,"id":6,"options":66,"question":16,"source":23,"type":24},[],[8,9],{"answer":68,"createTime":5,"id":69,"options":70,"question":75,"source":23,"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":23,"type":24},[],898397884,[8,9],"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.( )"]