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Communications for Statistical Applications and Methods最新文献

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Modeling clustered count data with discrete weibull regression model 离散威布尔回归模型对聚类计数数据进行建模
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-07-31 DOI: 10.29220/csam.2022.29.4.413
Hanna Yoo
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引用次数: 0
Extension of the Mantel-Haenszel test to bivariate interval censored data Mantel-Haenszel检验在二元区间截尾数据中的推广
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-07-31 DOI: 10.29220/csam.2022.29.4.403
Dong-Hyun Leea, Yang-jin Kim
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引用次数: 0
The skew-t censored regression model: parameter estimation via an EM-type algorithm 偏t截尾回归模型:基于EM型算法的参数估计
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.333
V. H. Lachos, J. Bazán, L. M. Castro, Jiwon Park
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引用次数: 0
A spatial heterogeneity mixed model with skew-elliptical distributions 具有偏斜椭圆分布的空间异质性混合模型
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.373
Mohadeseh Alsadat Farzammehr, G. McLachlan
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引用次数: 0
Stochastic structures of world's death counts after World War II 二战后世界死亡统计的随机结构
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.353
J. Lee
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引用次数: 0
Letter to the editor: Discussion of proposed t-statistic in "ppcor: An R Package for a fast calculation to semi-partial correlation coefficients," CSAM 2015; 22:665-674 致编辑的信:《ppcor:An R Package for a fast calculation to semi-partial correlation coefficients》中提出的t-统计量的讨论,CSAM 2015;22:665-674
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.393
A. Britto
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引用次数: 0
Estimating dose-response curves using splines: a nonparametric Bayesian knot selection method 使用样条估计剂量-响应曲线:一种非参数贝叶斯结选择方法
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.287
Jiwon Lee, Yongku Kim, Young Min Kim
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引用次数: 0
Modified information criterion for testing changes in generalized lambda distribution model based on confidence distribution 改进了基于置信度分布的广义lambda分布模型变化检验信息准则
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.301
Suthakaran Ratnasingama, Elena Buzaianub, Wei Ning
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引用次数: 0
Prediction of extreme PM2.5 concentrations via extreme quantile regression 极端分位数回归预测PM2.5极端浓度
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-31 DOI: 10.29220/csam.2022.29.3.319
Sanghyuk Lee, Seoncheol Park, Yaeji Lim
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引用次数: 0
P-value calculation methods for semi-partial correlation coefficients. 半偏相关系数的p值计算方法。
IF 0.4 Q4 STATISTICS & PROBABILITY Pub Date : 2022-05-01 Epub Date: 2022-05-31 DOI: 10.29220/csam.2022.29.3.397
Seongho Kim

The p-value calculation methods for the partial and semi-partial correaltion coefficients were proposed by Cohen et al. (2003) and Kim (2015). The method of Cohen et al. (2003) depends on a single and identical statistic for both partial and semi-partial correlations, while Kim (2015)'s method uses two separate statistics for each of partial and semi-partial correlations. In particular, the mathematical expression of the p-value calculation for the semi-partial correlation coefficient differs between Kim (2015) and Cohen et al. (2003). Thus, these two expressions were compared through theoretical aspects and simulations. The results show that the semi-partial correlation coefficients by Kim (2015) is monotonic to the corresponding p-values, while Cohen et al. (2003)'s method does not maintain monotonicity.

偏相关系数和半偏相关系数的p值计算方法由Cohen等人(2003)和Kim(2015)提出。Cohen等人(2003)的方法依赖于部分和半部分相关的单一和相同的统计量,而Kim(2015)的方法对每个部分和半部分相关使用两个单独的统计量。特别是,Kim(2015)和Cohen等人(2003)对半偏相关系数的p值计算的数学表达式有所不同。因此,从理论和仿真两个方面对这两种表达式进行了比较。结果表明,Kim(2015)的半偏相关系数对对应的p值是单调的,而Cohen等人(2003)的方法不保持单调性。
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引用次数: 1
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Communications for Statistical Applications and Methods
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