南通大学学报(自然科学版)
南通大學學報(自然科學版)
남통대학학보(자연과학판)
JOURNAL OF NANTONG UNIVERSITY (NATURAL SCIENCE)
2014年
2期
85-90
,共6页
负二项分布%贝叶斯估计%贝塔分布%区间估计
負二項分佈%貝葉斯估計%貝塔分佈%區間估計
부이항분포%패협사고계%패탑분포%구간고계
negative binomial distribution%Bayesian estimation%Beta distribution%interval estimate
研究了在先验分布为贝塔分布下,负二项分布未知参数θ的贝叶斯区间估计方法。借助Beta分布与F分布的关系给出了参数θ的一般后验区间估计,并给出了参数θ的最短后验区间估计的条件极值解法。通过对参数取值不同的密度曲线形状的讨论分析和数值实例对比,得出结论:在小样本情况下,最短置信区间估计方法值得采用。
研究瞭在先驗分佈為貝塔分佈下,負二項分佈未知參數θ的貝葉斯區間估計方法。藉助Beta分佈與F分佈的關繫給齣瞭參數θ的一般後驗區間估計,併給齣瞭參數θ的最短後驗區間估計的條件極值解法。通過對參數取值不同的密度麯線形狀的討論分析和數值實例對比,得齣結論:在小樣本情況下,最短置信區間估計方法值得採用。
연구료재선험분포위패탑분포하,부이항분포미지삼수θ적패협사구간고계방법。차조Beta분포여F분포적관계급출료삼수θ적일반후험구간고계,병급출료삼수θ적최단후험구간고계적조건겁치해법。통과대삼수취치불동적밀도곡선형상적토론분석화수치실례대비,득출결론:재소양본정황하,최단치신구간고계방법치득채용。
In terms of prior distribution of Beta distribution, the Bayesian estimation method on the unknown parame-ter θ of negative binomial distribution was studied. By means of the relations between Beta distribution and the F dis-tribution the general posterior interval estimation of parameter θ was given, and the shortest posterior interval estima-tion by means of conditional extreme was gained. By comparing the discussion analysis and numerical examples den-sity curve shape of the different parameters, it was concluded that in the case of small samples, the shortest confi-dence interval estimation method is worth using.