同义联想法 发表于 2025-3-28 15:38:43
Tests for One-dimensional Nearest Neighbors Clustershis way clusters of points are generated which are connected by arrows. (.) studied the distribution of the number (.) of NN clusters. Because too small or too large values of M may indicate deviations from the null hypothesis of no clustering, tests for the detection of clusters can be based on theIngredient 发表于 2025-3-28 20:35:45
http://reply.papertrans.cn/32/3195/319445/319445_42.png领带 发表于 2025-3-29 02:30:25
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http://reply.papertrans.cn/32/3195/319445/319445_45.pngcompanion 发表于 2025-3-29 13:37:48
Bayesian Latent Class Metric Conjoint Analysis — A Case Study from the Austrian Mineral Water Markets. The approach starts with estimating unidentified models for various numbers of classes. Exact Bayes’ factors are computed by the bridge sampling estimator to compare different models and select the number of classes. Estimation of the unidentified model is carried out using the random permutation连词 发表于 2025-3-29 17:43:49
https://doi.org/10.1007/978-0-387-33535-3 to assign explicit dates to a seriated solution. This new method of seriation is applied to a series of ceramic assemblages consisting of the locally produced tableware from Sagalassos (SW Turkey). These tableware assemblages have already been seriated and dated independently via empirical archaeolGET 发表于 2025-3-29 22:35:28
Constrained Correspondence Analysis for Seriation in Archaeology Applied to Sagalassos Ceramic Table to assign explicit dates to a seriated solution. This new method of seriation is applied to a series of ceramic assemblages consisting of the locally produced tableware from Sagalassos (SW Turkey). These tableware assemblages have already been seriated and dated independently via empirical archaeolFeedback 发表于 2025-3-30 00:12:22
http://reply.papertrans.cn/32/3195/319445/319445_49.png一瞥 发表于 2025-3-30 06:23:53
Jason Valent,Charles A. Schifferiers and partitions the remaining . observations in . clusters. We also propose an algorithm that approximates this estimator. We study under which conditions this estimator is a maximum likelihood estimator.