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Journal of applied statistics

Showing results (231-240 of 1,188) with videos related to

Pageof 119
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Journal of Applied Statistics|February 28, 2024
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimationD Scaldelai, L C Matioli, S R Santos
Journal of Applied Statistics|February 19, 2024
Inferential procedures based on the weighted Pearson correlation coefficient test statisticHan Yu, Alan D Hutson
Journal of Applied Statistics|January 29, 2024
Statistical methods for assessing drug interactions using observational dataQian Xu, Demetra Antimisiaris, Maiying Kong
Journal of Applied Statistics|May 31, 2024
The Kullback-Leibler autodependogramL Bagnato, L De Capitani, A Punzo
Journal of Applied Statistics|May 31, 2024
Bayesian regression on non-parametric mixed-effect models with shape-restricted Bernstein polynomialsJianhua Ding, Zhongzhan Zhang
Journal of Applied Statistics|June 5, 2024
Bayesian sample size determination for coefficient of variation of normal distributionSajid Ali, Mariyam Waheed, Ismail Shah, et al.
Journal of Applied Statistics|June 5, 2024
A new family of quantile regression models applied to nutritional dataIsaac E Cortés, Mário de Castro, Diego I Gallardo
Journal of Applied Statistics|June 5, 2024
Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trialsNikola Surjanovic, Thomas M Loughin
Journal of Applied Statistics|November 16, 2023
Robust and sparse learning of varying coefficient models with high-dimensional featuresWei Xiong, Maozai Tian, Manlai Tang, et al.
Journal of Applied Statistics|October 9, 2023
Knockoff procedure for false discovery rate control in high-dimensional data streamsKa Wai Tsang, Fugee Tsung, Zhihao Xu
Pageof 119

Showing results (231-240 of 1,188) with videos related to

Sort By:
Pageof 119
Journal of Applied Statistics|February 28, 2024
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimationD Scaldelai, L C Matioli, S R Santos
Journal of Applied Statistics|February 19, 2024
Inferential procedures based on the weighted Pearson correlation coefficient test statisticHan Yu, Alan D Hutson
Journal of Applied Statistics|January 29, 2024
Statistical methods for assessing drug interactions using observational dataQian Xu, Demetra Antimisiaris, Maiying Kong
Journal of Applied Statistics|May 31, 2024
The Kullback-Leibler autodependogramL Bagnato, L De Capitani, A Punzo
Journal of Applied Statistics|May 31, 2024
Bayesian regression on non-parametric mixed-effect models with shape-restricted Bernstein polynomialsJianhua Ding, Zhongzhan Zhang
Journal of Applied Statistics|June 5, 2024
Bayesian sample size determination for coefficient of variation of normal distributionSajid Ali, Mariyam Waheed, Ismail Shah, et al.
Journal of Applied Statistics|June 5, 2024
A new family of quantile regression models applied to nutritional dataIsaac E Cortés, Mário de Castro, Diego I Gallardo
Journal of Applied Statistics|June 5, 2024
Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trialsNikola Surjanovic, Thomas M Loughin
Journal of Applied Statistics|November 16, 2023
Robust and sparse learning of varying coefficient models with high-dimensional featuresWei Xiong, Maozai Tian, Manlai Tang, et al.
Journal of Applied Statistics|October 9, 2023
Knockoff procedure for false discovery rate control in high-dimensional data streamsKa Wai Tsang, Fugee Tsung, Zhihao Xu
Pageof 119