湖北工业职业技术学院学报
湖北工業職業技術學院學報
호북공업직업기술학원학보
Journal of Shiyan Technical Institute
2015年
5期
102-105
,共4页
指数函数%回归模型%参数估计%预选条件法
指數函數%迴歸模型%參數估計%預選條件法
지수함수%회귀모형%삼수고계%예선조건법
exponential function%regression model%parameter estimation%precondition method
依据分析指数函数回归模型建立的预选条件的过程，获得了在预选条件满足时指数函数回归模型参数的预选条件法估计公式，通过实例应用预选条件法建立指数函数回归模型，并与最小二乘法建立的指数函数回归模型进行比较：预选条件法建立模型的残差平方和比最小二乘法小，模型更可靠。
依據分析指數函數迴歸模型建立的預選條件的過程，穫得瞭在預選條件滿足時指數函數迴歸模型參數的預選條件法估計公式，通過實例應用預選條件法建立指數函數迴歸模型，併與最小二乘法建立的指數函數迴歸模型進行比較：預選條件法建立模型的殘差平方和比最小二乘法小，模型更可靠。
의거분석지수함수회귀모형건립적예선조건적과정，획득료재예선조건만족시지수함수회귀모형삼수적예선조건법고계공식，통과실례응용예선조건법건립지수함수회귀모형，병여최소이승법건립적지수함수회귀모형진행비교：예선조건법건립모형적잔차평방화비최소이승법소，모형경가고。
In the course of analysis of preselected conditions based on exponential function regression model, precondition estima?tion formula is obtained when pre -conditions are met with law exponential regression model parameters. Exponential regression model is established by applying preconditions method and the establishment of an exponential function with the least squares method to compare the regression model:the sum of squared residuals of models established on preconditions is smaller than least squares method, and model is more reliable.
