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发表于 2025-3-21 18:51:28
书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0150259<br><br> <br><br>书目名称Advances in the Statistical Sciences: Foundations of Statistical Inference读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0150259<br><br> <br><br>
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发表于 2025-3-21 22:31:29
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未完成
发表于 2025-3-22 03:28:25
Statistical Principles and Tangent Models,of sufficiency and conditionality is an underlying intention of separating . from .. This manifests itself in the ordinary analysis of variance and also for the generalizations of that analysis for the transformation models and for the exponential models. This paper gives preliminary introduction to
牢骚
发表于 2025-3-22 05:48:14
Bernoulli Pairs with Invariant Reversals: An Example of Partial Likelihood,interest. The likelihood factorizes and the partial likelihood depends on. alone. This paper examines the problem of making inferences about. in detail and concludes that although the partial likelihood method is asymptotically sound the approach to the limit is slow, so that the method can lose a l
腐败
发表于 2025-3-22 08:53:24
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描述
发表于 2025-3-22 14:58:13
Statistical Inference for the Overlap Hypothesis,n between .. and the gain in height, .. - .., or that the correlation between .. and .. is the same as that between .. and .. - ... An estimate of the correlation when either of these hypotheses holds is obtained. A statistical test for the hypothesis is also developed, and indications of a multivar
洞穴
发表于 2025-3-22 17:40:21
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粗俗人
发表于 2025-3-22 22:11:49
An Algorithm for Concave Regression,mputation of the maximum likelihood (normality) or least squares fit is available for the isotonic case in a bounded number of steps. For the concave case most of the algorithms have been difficult to implement or had no assured convergence; Dykstra (1983) gave an algorithm easy to implement and con
CT-angiography
发表于 2025-3-23 02:46:57
On the Prediction of the Difference between Responses from Two Linear Models, transformation, the prediction distributions of the differences between responses are obtained. The usual method of derivation involves a cumbersome integration procedure which is avoided here by the use of structural relations.
集合
发表于 2025-3-23 08:23:58
On Ultrastructural Relationships Models,s models. Dolby (1976) combined these two models in the univariate case into a single model called the ultrastructural relationships model and found the maximum likelihood estimators of the parameters. We extend Dolby’s ultrastructural relationships model to the multivariate case, assuming the exist