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Titlebook: Advances in Order Restricted Statistical Inference; Proceedings of the S Richard Dykstra,Tim Robertson,Farroll T. Wright Conference proceed

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发表于 2025-3-21 18:43:35 | 显示全部楼层 |阅读模式
期刊全称Advances in Order Restricted Statistical Inference
期刊简称Proceedings of the S
影响因子2023Richard Dykstra,Tim Robertson,Farroll T. Wright
视频video
学科分类Lecture Notes in Statistics
图书封面Titlebook: Advances in Order Restricted Statistical Inference; Proceedings of the S Richard Dykstra,Tim Robertson,Farroll T. Wright Conference proceed
影响因子With support from the University of Iowa and the Office of Naval Research. a small conference on order restricted inference was held at the University of Iowa in Iowa City in April of 1981. There were twenty-one participants. mostly from the midwest. and eleven talks were presented. A highlight of the conference was a talk by D. J. Bartholomew on. "Reflections on the past and thoughts about the future. " The conference was especially valuable because it brought together researchers who were thinking about related problems. A small conference on a limited topic is one of the best ways to stimulate research and facilitate collaboration. Because of the success of the first conference. a second conference was organized and held in September of 1985. This second conference was made possible again by support from the Office of Naval Research under Department of the Navy Contract NOOOI4-85-0161 and the University of Iowa. There were thirty-five participants and twenty presentations on a wide variety of topics dealing with order restricted inference at the second conference. This volume is a collection of fourteen of those presentations. By collecting together and organizing the fundamenta
Pindex Conference proceedings 1986
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发表于 2025-3-21 20:52:28 | 显示全部楼层
The Neumann problem on a half-line the boundary of the restricted parameter space. The orderrestricted maximum likelihood solution is obtained in the limit as the prior standard deviation for the strength of association parameter grows unboundedly.
发表于 2025-3-22 02:25:49 | 显示全部楼层
The general form of weak solutionsests are deficient in several ways, but have practical utility nevertheless. A maximum-violator algorithm with guaranteed convergence is given for computing the maximum likelihood estimates of the response probabilities subject to unimodality of π(×)/×.
发表于 2025-3-22 08:35:42 | 显示全部楼层
Heuristic Symbolic Subsumption,rved means against the corners of the Fenchel dual of the cone H., which is in a sense dual to Dunnett’s test for testing H. versus H..-H. in the same setting. Based on ease of implementation, comparison of powers and computabi1ity of powers, the multiple contrast procedure appears to be the most attractive.
发表于 2025-3-22 09:52:20 | 显示全部楼层
发表于 2025-3-22 16:52:23 | 显示全部楼层
https://doi.org/10.1007/978-3-0348-9187-5s of the density to effectively reduce the dimensionality. The estimator incorporates an order-preserving algorithm to insure that higher isopleths have higher density estimates than lower isopleths. Convergence properties and a simulation are presented. The importance of edge effects is also noted.
发表于 2025-3-22 19:34:24 | 显示全部楼层
The Neumann problem on a half-lineisotone regression problem, there is no simple finite algorithm for solving least squares problems when higher order differences are also order restricted. The paper discusses some of the numerical difficulties which may arise due to the ill-posed nature of the problem and outlines a numerically stable algorithm for solving it.
发表于 2025-3-22 23:29:12 | 显示全部楼层
The Dirichlet problem on a half-line function of the ranks of the deviates from the estimates of the nuisance parameters. The asymptotic efficiency comparisons relative to the likelihood derivative test and other nonparametric tests for randomized (complete) blocks show that our procedure is generally more powerful.
发表于 2025-3-23 01:41:40 | 显示全部楼层
发表于 2025-3-23 08:20:16 | 显示全部楼层
https://doi.org/10.1007/978-3-658-39667-1n this general context, the likelihood ratio statistic is asymp totically chi-bar-squared whenever the true parameter vector lies in H.; we outline a new proof based on Silvey’s theorem that a constrained estimate and its corresponding vector of Lagrange multipliers are asymptotically normal and independent.
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