正態(tài)模型單參數(shù)的貝葉斯估計的漸近性1117-資料下載頁
2025-06-24 18:06本頁面
【正文】 oss function for the general normal mode . The theoretical Bayes evaluation was indicated by using X marginal distribute density function and its first order derivative . Using the past sample value (x1 x2….xn) and present value x , bined with kernel estimation method to construct relevant function to replace the function in Bayes evaluation , the parameter by empirical Bayes was obtained . It was proved that the proposed estimator was an asymptotical optimal EB estimator. Key words: general normal mode parameter empirical Bayes kernel estimation asymptotical optimality 劉榮玄，1959年生，男，江西遂川人，副教授，長期從事概率論與數(shù)理統(tǒng)計教學(xué)和研究，井岡山學(xué)院數(shù)理學(xué)院，343009，lis8231901@，07968881716。7
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