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项目反应理论：参数估计技术AI 解读

The Item Characteristic Curve: Dichotomous Response Estimating the Parameters of an Item Characteristic Curve Maximum Likelihood Estimation of Examinee Ability Maximum Likelihood Procedures for Estimating Both Ability and Item Parameters The Rasch Model Marginal Maximum Likelihood Estimation and an EM Algorithm Bayesian Parameter Estimation Procedures The Graded Item Response Nominally Scored Items Markov Chain Monte Carlo Methods Parameter Estimation with Multiple Groups…

完全链接层次聚类拟合优度的图论方法AI 解读

The complete-link hierarchical clustering strategy is reinterpreted as a heuristic procedure for coloring the nodes of a graph. Using this framework, the problem of assessing goodness-of-fit in complete-link clustering is approached through the number of “extraneous” edges in the fit of the constructed partitions to a sequence of graphs obtained from the basic proximity data. Several simple numerical examples that illustrate the suggested paradigm are given and some Monte…

两种层次聚类技术的稳定性：对数据误差的敏感性AI 解读

The impact of observational errors on the dendrograms produced by the complete linkage and single linkage hierarchical grouping techniques was investigated. Data corresponding to basal taxonomies were perturbed by adding error to the ranks of the inter-specimen pair proximities. The goodness of fit of the dendrograms obtained from the perturbed data and that corresponding to the basal taxonomies were measured by means of the Goodman-Kruskal gamma coefficient. Empirical…