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期刊=Open Journal of Statistics

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The Table Auto-Regressive Moving-Average Model for (Categorical) Stationary Series: Mathematical Perspectives (Invertibility;Maximum Likelihood Estimation): 《Open Journal of Statistics》2022年第3期385-407,共23页Chrysoula Dimitriou-Fakalou; Once invertibility for a causal TARMA series is defined and accompanied by conditions on the probability parameters of the model, all focus concentrates on the maximum likelihood estimators. Under the coexistence of e...; 关键词：Asymptotic Normality CONSISTENCY Scores Efficiency Strict Stationarity

Validating Intrinsic Factors Informing E-Commerce: Categorical Data Analysis Demo: 《Open Journal of Statistics》2021年第5期737-758,共22页Anthony Joe Turkson John Awuah Addor Douglas Yenwon Kharib; Statistics is a powerful tool for data measurement. Statistical techniques properly planned and executed give meaning to meaningless data. The difficulty some practitioners encounter hinges on the fact that though the...; 关键词：Categorical Data CHI-SQUARE E-COMMERCE Ordinal Data Nominal Data

Clustering Categorical Data Based on Within-Cluster Relative Mean Difference: 《Open Journal of Statistics》2017年第2期173-181,共9页Jinxia Su Chunjing Su; The clustering on categorical variables has received intensive attention. In dataset with categorical features, some features show the superior performance on clustering procedure. In this paper, we propose a simple m...; 关键词：CLUSTERING CATEGORICAL Variable Distinctive Attribute Pooled Within-Cluster Mean RELATIVE DIFFERENCE Hamming Distance

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