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 sufficient statistics 充分统计量(10)
 充分统计量
 Robustness with respect to linearly sufficient statistics and linearly complete statistics 关于线性充分统计量和线性完全统计量的稳健性 短句来源 Bayes' Definition of Sufficient Statistics and Its Application 充分统计量的贝叶斯定义及其应用 短句来源 Parameter estimation for the bivariate exponential distribution (MOBVE) introduced by Marshall and Olkin is investigated. A density function of this distribution with respect to a domination measure is specified. For a special model having identical marginal distribution, this paper gives the sufficient statistics, whose properties are studied. 本文讨论由 Marshall和Olkin 引进的二元指数分布（MOBVE分布）的参数估计问题．这个分布关于某个控制测度的密度函数被提出．对于边缘分布相同的情形，本文给出了充分统计量并讨论了它的性质； 短句来源 For agents endowed with fairness preferences,even when the production is independent totally,the optimal incentive contracts are joint incentive contracts determined by both one's own output and others' instead of independent contracts(relying) only on one's own output,and so the sufficient statistics principle of standard game theory is no longer right. 对具有公平心理偏好的行为人,即使生产过程是完全独立的,最优契约也是同时取决于个人产出和他人产出的联合契约,而不是仅取决于个人产出的独立契约,结果标准博弈论的充分统计量原则不再成立。 短句来源
 “sufficient statistics”译为未确定词的双语例句
 Comparison of Restricted General Gauss-Markov Model by Linearly Sufficient Statistics and Linearly Complete Statistics 通过线性充分和线性完全统计量比较带约束的一般Gauss-Markov模型 短句来源

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 sufficient statistics
 Rotation testing handles this problem by conditioning on sufficient statistics. The paper proposes a model based approach to this problem by utilizing the information contained in the sufficient statistics obtained from fitting a model to the public data by conditioning on the survey data. Optimal batch-sequential designs are difficult to compute, even when sufficient statistics and relatively uncomplicated loss functions simplify the calculations required. To accommodate the spatial constraints in this domain, we compute virtual measurements as sufficient statistics to be used in the M-step. We then determine the data summaries (sufficient statistics) for these parameters. 更多
 This paper analyses the meaning of the concepts in IRT such as information, item information function, scoring information function and their relations. The equivalence of the definitions of information in IRT and in mathematical statisti cs is explained. And the definition of item information function is re-made in a higher aspect. The application of sufficient statistics in IRT is also discussed. The properties of maximum likelihood estimator,which are observed usually in the circumstence of independent... This paper analyses the meaning of the concepts in IRT such as information, item information function, scoring information function and their relations. The equivalence of the definitions of information in IRT and in mathematical statisti cs is explained. And the definition of item information function is re-made in a higher aspect. The application of sufficient statistics in IRT is also discussed. The properties of maximum likelihood estimator,which are observed usually in the circumstence of independent and identical distributions,are here discussed under the condition of independent and yet unidentical distributions, which is satisfied by the samples in IRT. The conclussion, nearly parallel to that in the case 本文分析了信息函数、项目信息函数、评分信息函数等IRT中的重要概念的意义及其之间的联系.说明IRT信息函数的定义与数理统计中信息函数的定义是等价的.从较高的角度重新定义了项目信息函数,并讨论了充分统计量的概念在IRT的应用.极大似然估计的性态通常仅就独立同分布的情形进行讨论.但在IRT中,样本独立而不同分布.本文就此情形进行了初步的探讨,得到的结论基本上与独立同分布的情形平行:1)(?)(个人能力参数θ的极大似然估计)是充分统计量的函数;2)(?)是其期望值的相容估计;3)实际应用中可采取一定的方法使(?)满足渐近正态性. Abstrct For the two restricted general Gauss-Markov model LZ = (F1, X1B, V1|L1B=p1>, and L2={Yz, X2B,V2|L2B= p2}. By linearly sufficient statistics, linearly minimal sufficient statistics and linearly complete statistics, we characterized the following relations. L1 at least as good as L2, L1better than L2,L1 equivalent to L2 对于带有约束的一般Gauss-Markov模型L_1(?){Y_1,X_1β,V_1|L_1β=P_1},L_2(?){Y_2,X_2β,V_2|L_2β=P_2}通过线性充分统计量、线性完全统计量、最小线性充分统计量,我们刻划了L_1和L_2的如下的序的关系:L_1优于L_2,L_1不劣于L_2,L_1等价于L_2。 Necessary and sufficient conditions are derived for the class μ0 of linearly sufficient statistics,the class μ0 of linearly minimal sufficient statistics,and the class of linearly complete statistics,corresponding to a general Gauss-Matkov model to remain valid under an alternative model in the sense that μ0 where μ, the counterparts of μ0,corresponding to the model M. μ＿０，μ＿０，０＿分别表示线性模型Ｍ′＿０＝｛Ｙ，Ｘ＿０β＿０，Ｖ｜Ｌ＿０β＿０＝ｐ＿０｝之下关于Ｘ＿０β＿０的线性充分统计量、线性最小充分统计量、线性完全统计量的类。μ＿０，μ，＿０分别表示模型Ｍ＝｛Ｙ，Ｘβ，Ｖ｜Ｌβ＝ｐ｝之下相应的统计量的类。给出了μ＿０　μ，μ＿０　μ，　＿０　　的充要条件。 << 更多相关文摘
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