WEI LIN TEOH

Heriot-Watt University

United Kingdom

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Articles (17)

Collaborators (2)

Kim Phuc Tran

Associate Professor, Dr. habil. (Maître de Conférences HDR, equivalent of a UK Reader)

Jing Wei Teoh

Heriot-Watt University

UNITED KINGDOM

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WEI LIN TEOH

Research Interests

Explore related searches

Contact this professor

Articles (17)

Collaborators (2)

Kim Phuc Tran

Jing Wei Teoh

Make your next move.

WEI LIN TEOH

Research Interests

Explore related searches

Contact this professor

Articles (17)

Enhanced Designs for the Multi-Region Run Sum x̄ Control Chart Based on the Median Run Length Metric

A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal

Dynamic VSI Max-EWMA control chart for joint monitoring of time-between-events and amplitude in high-quality manufacturing processes

An adaptive multivariate EWMA chart for monitoring Gumbel's bivariate exponential distributed data

Run Sum Hotelling's T2 Chart for Autocorrelated Processes

Optimal design of the Side Sensitive Modified Group Runs Double Sampling (SSMGRDS) X̅ scheme with estimated process parameters

Optimal Designs of the Group Runs Exponentially Weighted Moving Average X̄ and t Schemes

Optimising Variable Sample Size X-bar Chart through Median Run Length with Estimated Process Parameters

Optimal design of the side sensitive group runs double sampling (SSGRDS) x̄ scheme with estimated process parameters

An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal

Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters

On Designing an Optimal SPRT Control Chart with Estimated Process Parameters under Guaranteed In-control Performance

The multivariate exponentially weighted moving average chart for monitoring short production runs

A two-sided SPRT control chart for process dispersion

Run sum control chart for monitoring the ratio of population means of a bivariate normal distribution

The expected average run length of the ewma median chart with estimated process parameters

Optimal designs of the exponentially weighted moving average (EWMA) median chart for known and estimated parameters based on median run length

Collaborators (2)

Kim Phuc Tran

Jing Wei Teoh

Make your next move.