受强制性开放获取政策约束的文章 - Liu Liu(刘浏)了解详情
无法在其他位置公开访问的文章:15 篇
Online profile monitoring for surgical outcomes using a weighted score test
L Liu, X Lai, J Zhang, F Tsung
Journal of Quality Technology 50 (1), 88-97, 2018
强制性开放获取政策: 国家自然科学基金委员会, Research Grants Council, Hong Kong
Adaptive phase II nonparametric EWMA control chart with variable sampling interval
L Liu, B Chen, J Zhang, X Zi
Quality and Reliability Engineering International 31 (1), 15-26, 2015
强制性开放获取政策: 国家自然科学基金委员会
Weighted score test based EWMA control charts for zero-inflated Poisson models
Q Hu, L Liu
Computers & Industrial Engineering 152, 106966, 2021
强制性开放获取政策: 国家自然科学基金委员会
Regression‐adjusted Poisson EWMA control chart
H Wen, L Liu, X Yan
Quality and Reliability Engineering International 37 (5), 1956-1964, 2021
强制性开放获取政策: 国家自然科学基金委员会
Competing risk model with bivariate random effects for clustered survival data
X Lai, KKW Yau, L Liu
Computational Statistics & Data Analysis 112, 215-223, 2017
强制性开放获取政策: 国家自然科学基金委员会, Research Grants Council, Hong Kong
Generalized likelihood ratio based risk‐adjusted control chart for zero‐inflated Poisson process
X Lai, X Lian, L Liu, J Wang, Y Liu, KC Chong
Quality and Reliability Engineering International 39 (1), 363-381, 2023
强制性开放获取政策: 国家自然科学基金委员会
Multivariate nonparametric control chart with storage space
J Yue, L Liu, H Zhang
IEEE Transactions on Industrial Informatics, 2020
强制性开放获取政策: 国家自然科学基金委员会
An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals
L Liu, Q Peng, X Lai, Z Deng
Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (1), 74-87, 2021
强制性开放获取政策: 国家自然科学基金委员会
Multivariate control chart based on multivariate smirnov test
M Zhou, L Liu, W Geng, J Zhou
Communications in Statistics-Simulation and Computation 44 (6), 1600-1611, 2015
强制性开放获取政策: 国家自然科学基金委员会
Truncated normal distribution-based EWMA control chart for monitoring the process mean in the presence of outliers
W Tan, L Liu
Journal of Statistical Computation and Simulation 91 (11), 2276-2288, 2021
强制性开放获取政策: 国家自然科学基金委员会
Cardiopulmonary Function Monitoring Based on MEWMA Control Chart
H Zhang, L Liu, J Yue, X Lai
Annals of Data Science 5, 293-299, 2018
强制性开放获取政策: 国家自然科学基金委员会
A dynamic sampling for monitoring nonparametric multivariate processes
J Yue, L Liu
Communications in Statistics-Simulation and Computation 52 (8), 3771-3781, 2023
强制性开放获取政策: 国家自然科学基金委员会
A new standardized mortality ratio method for hospital quality evaluation
Q Peng, X Lai, L Liu, J Chen
Communications in Statistics-Theory and Methods 52 (8), 2482-2492, 2023
强制性开放获取政策: 国家自然科学基金委员会
Online monitoring of process variance drifts for leptokurtic and heavy‐tailed data
W Tan, L Liu
Quality and Reliability Engineering International 38 (2), 1045-1059, 2022
强制性开放获取政策: 国家自然科学基金委员会
Risk-Adjusted Monitoring Method for Surgical Data: Methodology for Data Analytics (Work in Progress)
X Lai, L Liu, PBS Lai, K Tsoi, H Wang, KC Chong, B Zee
2015 IEEE International Congress on Big Data, 317-319, 2015
强制性开放获取政策: 国家自然科学基金委员会, Research Grants Council, Hong Kong
可在其他位置公开访问的文章:8 篇
Multivariate nonparametric control chart with variable sampling interval
J Yue, L Liu
Applied Mathematical Modelling 52, 603-612, 2017
强制性开放获取政策: 国家自然科学基金委员会
A new VLAD‐based control chart for detecting surgical outcomes
J Yue, X Lai, L Liu, PBS Lai
Statistics in medicine 36 (28), 4540-4547, 2017
强制性开放获取政策: 国家自然科学基金委员会
Residuals based EWMA control charts with risk adjustments for zero‐inflated Poisson models
X Lai, R Liu, L Liu, J Wang, X Zhang, X Zhu, KC Chong
Quality and Reliability Engineering International 38 (1), 283-303, 2022
强制性开放获取政策: 国家自然科学基金委员会
A risk-adjusted approach to monitoring surgery for survival outcomes based on a weighted score test
X Lai, X Li, L Liu, F Tsung, PBS Lai, J Wang, X Zhang, X Zhu, J Liu
Computers & Industrial Engineering 160, 107568, 2021
强制性开放获取政策: 国家自然科学基金委员会, Research Grants Council, Hong Kong
An online test for goodness-of-fit in logistic regression model
Y Qiu, L Liu, X Lai, Y Qiu
IEEE Access 7, 107179-107187, 2019
强制性开放获取政策: 国家自然科学基金委员会
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