NON-NULL RANKING MODELS .1.
NON-NULL RANKING MODELS .1.
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DOI：
10.1093/biomet/44.1-2.114
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发表时间：
1957-01-01
期刊：
影响因子：
2.7
通讯作者：
MALLOWS, CL
中科院分区：
文献类型：
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作者：
MALLOWS, CL
“样本被认为是随机从二元总体中选择的”，潜在的总体要么是有限的，要么是无限的，例如二元正态。对于丹尼尔斯的类型（ii）的研究相对较少：“有一组固定的个体被一群法官评估，或者由同一名法官在重复审判中评估，评估的特定属性的排名是先验的。”随机因素是偏好的不确定性，相关性是个体之间真实差异的结果，而总体是一种基于给定客观顺序的排名。”
'The sample is regarded as having been randomly chosen from a bivariate population of ranks' the underlying population being either finite or infinite, eg bivariate Normal. Rather less work has been done on Daniels's type (ii):'There is a fixed set of individuals being assessed by a population of judges, or by the same judge in repeated trials, on a particular attribute whose ranking is known a priori. The random element is uncertainty of preference, the correlation being the result of real differences between the individuals, and the population is one of rankings conditional on a given objective order.'