A. Tang

发表

Conditional design of the EWMA median chart with estimated parameters

P. Castagliola, Xuelong Hu, X. Zhou, 2019 .

On the performance of the adaptive EWMA chart for monitoring time between events

P. Castagliola, Xuelong Hu, A. Tang, 2020 .

The performance of double exponentially weighted moving average control charts for monitoring the coefficient of variation

Xuelong Hu, X. Zhou, A. Tang, 2022, Communications in Statistics - Simulation and Computation.

On the conditional performance of the synthetic chart with unknown process parameters using the exceedance probability criterion

Jinsheng Sun, Xuelong Hu, A. Tang, 2020, PloS one.

Guaranteed conditional performance of the median run length based EWMA chart with unknown process parameters

P. Castagliola, Xuelong Hu, A. Tang, 2019, Commun. Stat. Simul. Comput..

The adaptive EWMA median chart for known and estimated parameters

Jinsheng Sun, P. Castagliola, Xuelong Hu, 2019, Journal of Statistical Computation and Simulation.

Monitoring the Ratio of Two Normal Variables Based on Triple Exponentially Weighted Moving Average Control Charts with Fixed and Variable Sampling Intervals

Xuelong Hu, A. Tang, Fupeng Xie, 2022, Symmetry.

Distribution-free Phase-II monitoring of high-dimensional industrial processes via origin and modified interpoint distance based algorithms

A. Tang, A. Mukherjee, Ximing Wang, 2023, Comput. Ind. Eng..

A new nonparametric adaptive EWMA control chart with exact run length properties

Philippe Castagliola, Xuelong Hu, Jinsheng Sun, 2019, Comput. Ind. Eng..

A synthetic multivariate exponentially weighted moving average scheme for monitoring of bivariate Gamma distributed processes

Jinsheng Sun, A. Tang, A. Mukherjee, 2021, Qual. Reliab. Eng. Int..

EWMA monitoring schemes for MCV in short production runs with an application to the steel sleeve manufacturing process

X. Zhou, A. Tang, Suying Zhang, 2023, Comput. Ind. Eng..

An optimally designed distribution‐free CUSUM procedure for tri‐aspect surveillance of continuous processes

A. Tang, A. Mukherjee, Yuanman Ma, 2023, Quality and Reliability Engineering International.

A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data

Philippe Castagliola, Jinsheng Sun, Xuelong Hu, 2020, Qual. Reliab. Eng. Int..

Conditional median run length performance of the synthetic X¯ chart with unknown process parameters

Philippe Castagliola, Anan Tang, XueLong Hu, 2020, Qual. Reliab. Eng. Int..

The performance of the adaptive EWMA median chart in the presence of measurement error

Philippe Castagliola, Xuelong Hu, Jinsheng Sun, 2018, Qual. Reliab. Eng. Int..

An adaptive EWMA median chart for monitoring the process mean

Zhao Min, Xuelong Hu, Wu Shu, 2019, 2019 Chinese Control And Decision Conference (CCDC).

Conditional design of the CUSUM median chart for the process position when process parameters are unknown

P. Castagliola, P. Castagliola, A. Tang, 2019, Journal of Statistical Computation and Simulation.

Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length

Philippe Castagliola, Jinsheng Sun, Xuelong Hu, 2019 .

The effect of measurement errors on the adaptive EWMA X¯ chart

Philippe Castagliola, Xuelong Hu, Jinsheng Sun, 2018, Qual. Reliab. Eng. Int..

The exact statistical properties of a signed‐rank‐based adaptive exponential weighted moving average chart

A. Tang, Weidong Huang, Yuanman Ma, 2022, Qual. Reliab. Eng. Int..

An adaptive exponentially weighted moving average chart for the mean with variable sampling intervals

Philippe Castagliola, Xuelong Hu, Jinsheng Sun, 2017, Qual. Reliab. Eng. Int..