Liu Liu

Orcid: 0000-0002-4792-0264

Affiliations:
  • Sichuan Normal University, Chengdu, China


According to our database1, Liu Liu authored at least 17 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
A dynamic sampling for monitoring nonparametric multivariate processes.
Commun. Stat. Simul. Comput., August, 2023

Generalized likelihood ratio based risk-adjusted control chart for zero-inflated Poisson process.
Qual. Reliab. Eng. Int., February, 2023

2022
Online monitoring of process variance drifts for leptokurtic and heavy-tailed data.
Qual. Reliab. Eng. Int., 2022

Residuals based EWMA control charts with risk adjustments for zero-inflated Poisson models.
Qual. Reliab. Eng. Int., 2022

2021
An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals.
Stat. Anal. Data Min., 2021

Regression-adjusted Poisson EWMA control chart.
Qual. Reliab. Eng. Int., 2021

A risk-adjusted approach to monitoring surgery for survival outcomes based on a weighted score test.
Comput. Ind. Eng., 2021

Weighted Score test based EWMA control charts for Zero-Inflated Poisson Models.
Comput. Ind. Eng., 2021

2020
Multivariate Nonparametric Control Chart With Storage Space.
IEEE Trans. Ind. Informatics, 2020

2019
An Online Test for Goodness-of-Fit in Logistic Regression Model.
IEEE Access, 2019

2017
Competing risk model with bivariate random effects for clustered survival data.
Comput. Stat. Data Anal., 2017

2015
Adaptive Phase II Nonparametric EWMA Control Chart with Variable Sampling Interval.
Qual. Reliab. Eng. Int., 2015

Multivariate Control Chart Based on Multivariate Smirnov Test.
Commun. Stat. Simul. Comput., 2015

Dual Nonparametric CUSUM Control Chart Based on Ranks.
Commun. Stat. Simul. Comput., 2015

Risk-Adjusted Monitoring Method for Surgical Data: Methodology for Data Analytics (Work in Progress).
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2013
Fast learning rates for sparse quantile regression problem.
Neurocomputing, 2013

A Sequential Rank-Based Nonparametric Adaptive EWMA Control Chart.
Commun. Stat. Simul. Comput., 2013


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