Obsolescent
发表于 2025-3-21 20:09:29
书目名称Asymptotic Expansions for General Statistical Models影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0163801<br><br> <br><br>书目名称Asymptotic Expansions for General Statistical Models读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0163801<br><br> <br><br>
Explicate
发表于 2025-3-21 23:04:51
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恩惠
发表于 2025-3-22 01:45:27
A Logic-Based Calculus of Eventsluate the concentration of its distribution, P*K, about κ(P). In the following sections we provide the conceptual framework for this task. In Section 7.2 we introduce the concept of a randomized estimator.
TATE
发表于 2025-3-22 05:26:45
Joachim W. Schmidt,Constantino Thanose quality of such confidence procedures, defined in terms of covering probabilities, can be equivalently expressed by the concentration of the confidence bound. Results on the concentration of confidence bounds can be applied in particular to the concentration of estimators.
拍翅
发表于 2025-3-22 12:16:32
Lecture Notes in Statisticshttp://image.papertrans.cn/b/image/163801.jpg
图画文字
发表于 2025-3-22 16:54:46
Asymptotic Expansions for Power Functions,tic log(.) are most powerful for . against .. In this section it will be shown that sequences of test statistics log(.), n ∈ ℕ, are most powerful of order o(n.) under relatively weak conditions on the remainder sequence R., n ∈ ℕ.
贞洁
发表于 2025-3-22 20:46:46
Evaluating the Performance of Estimators,luate the concentration of its distribution, P*K, about κ(P). In the following sections we provide the conceptual framework for this task. In Section 7.2 we introduce the concept of a randomized estimator.
mighty
发表于 2025-3-23 01:01:54
Asymptotic Bounds for the Performance of Confidence Procedures and Estimators,e quality of such confidence procedures, defined in terms of covering probabilities, can be equivalently expressed by the concentration of the confidence bound. Results on the concentration of confidence bounds can be applied in particular to the concentration of estimators.
朦胧
发表于 2025-3-23 01:49:26
https://doi.org/10.1007/978-3-319-97943-4Let β be a family of mutually absolutely continuous p-measures. We fix a dominating measure μ, and use the small letter p to denote the μ-density of P ∈ β.
仲裁者
发表于 2025-3-23 05:51:24
https://doi.org/10.1007/978-3-319-97943-4The concept of a differentiable path is motivated by the aspiration to describe the local structure of a given family of p-measures. Our purpose is to grasp those local properties which are relevant for the asymptotic performance of statistical procedures.