摘要
从齐性方差的线性回归模型参数估计的最小二乘法出发,通过对统计资料的适当变换,利用加权最小二乘法,获得了异方差的线性自回归模型和四种异方差的非线性自回归模型的参数估计公式,并举例阐述了估计公式的应用.
This paper firstly introduces the least quadratic method of homogeneity of variance about line-regressive paramater estiation model, then studies transformation through the past statistic data. utilizing the least quadratic method, formulation of paramater estimation is aquired about heteroskedasticity line-autoregressive model and four types of heteroskedasticity none line-autoregressive models, finally, application is gived by some examples.
出处
《数学的实践与认识》
CSCD
北大核心
2008年第8期114-121,共8页
Mathematics in Practice and Theory
基金
江苏省高校自然科学基础研究课题(07KJB110090)
南通大学自然科学研究课题(05Z015)
南通大学自然科学研究课题(06Z013)
南通大学自然科学研究课题(07Z004)
关键词
最小二乘法
自回归模型
异方差
参数估计
加权最小二乘法
the least quadratic method
autoregressive model
heteroskedasticity
paramater estimation
the weighted least quadratic method