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带插值条件的拟线性最小二乘估计
引用本文:颜宁生,李庆福,刘建筑,张雅琳,史英杰.带插值条件的拟线性最小二乘估计[J].数学理论与应用,2010(3):37-41.
作者姓名:颜宁生  李庆福  刘建筑  张雅琳  史英杰
作者单位:[1]北京服装学院基础教学部,北京100029 [2]北京服装学院商学院,北京100029
基金项目:北京市教育委员会科技发展计划面上项目(KM200910012005);北京服装学院大学生训练计划(HD-100807);北京服装学院教育教学改革立项(ZDJG-0907)资助
摘    要:提出了带插值点的拟线性最小二乘法,并给出了带插值点的拟线性最小二乘法拟合的最小二乘估计,证明了及其参数具有无偏性。

关 键 词:插值  拟线性最小二乘估计  回归  无偏估计

Quasilinear Least Squares Estimate with Interpolation Condition
Yah Ningsheng Li Qingfu,Liu Jianzhu Zhang Yalin Shi Yingjie.Quasilinear Least Squares Estimate with Interpolation Condition[J].Mathematical Theory and Applications,2010(3):37-41.
Authors:Yah Ningsheng Li Qingfu  Liu Jianzhu Zhang Yalin Shi Yingjie
Institution:Yah Ningsheng Li Qingfu Liu Jianzhu Zhang Yalin Shi Yingjie ( 1. Department of Fundamental Courses, Beijing Institute of Fashion Technology, Beijing, 100029) (2. Department of Business Administration, Beijing Institute of Fashion Technology, Beijing, 100029)
Abstract:Quasilinear least squares estimate with interpolation point are proposed in this paper and the concrete expressions of least squares estimate with interpolation condition is gained. And the unbiased property of the parameters is proved.
Keywords:Interpolation Quasilinear least squares estimate Regression Unbiased estimation
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