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Re‐Unveiling the energy efficiency impact: Paving the way for sustainable growth in ASEAN countries

Sustainable development (Bradford, West Yorkshire, England), 2024-04, Vol.32 (5), p.5812-5824

2024

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Logarithmic confidence intervals for the cross-product ratio of binomial proportions under different sampling schemes

Communications in statistics. Simulation and computation, 2023-06, Vol.52 (6), p.2686-2704

2023

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Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations

Journal of applied statistics, 2023-06, Vol.50 (8), p.1750-1771

2023

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A new p‐control chart with measurement error correction

Quality and reliability engineering international, 2023-02, Vol.39 (1), p.81-98

2023

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Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights

Sustainability, 2022-03, Vol.14 (5), p.2896

2022

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A New EWMA Control Chart for Monitoring Multinomial Proportions

Sustainability, 2023-08, Vol.15 (15), p.11797

2023

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Auxiliary information‐based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability

Quality and reliability engineering international, 2021-12, Vol.37 (8), p.3242-3261

2021

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A Phase II depth‐based variable dimension EWMA control chart for monitoring process mean

Quality and reliability engineering international, 2021-10, Vol.37 (6), p.2384-2398

2021

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Monitoring and Comparing Air and Green House Gases Emissions of Various Countries

Journal of agricultural, biological, and environmental statistics, 2024-09, Vol.29 (3), p.621-644

2024

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The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach

Sustainability, 2023-06, Vol.15 (12), p.9404

2023

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Loss-Based Control Charts for Monitoring Non-Normal Process Data

IEEE access, 2020, Vol.8, p.91163-91169

2020

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Adjustment of Measurement Error Effects on Dispersion Control Chart with Distribution-Free Quality Variable

Sustainability, 2023-03, Vol.15 (5), p.4337

2023

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A new phase II EWMA dispersion control chart

Quality and reliability engineering international, 2022-06, Vol.38 (4), p.1635-1658

2022

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Monitoring Process Variance Using an ARL-unbiased EWMA-p Control Chart

Quality and reliability engineering international, 2016-04, Vol.32 (3), p.1227-1235

2016

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Estimation of mean value of a normal distribution with constraints on the relative error and d-risk

Journal of statistical computation and simulation, 2020-05, Vol.90 (7), p.1286-1300

2020

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A new non-parametric CUSUM mean chart

Quality and reliability engineering international, 2011-11, Vol.27 (7), p.867-875

2011

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Dynamic and Non-Linear Analysis of the Impact of Diurnal Temperature Range on Road Traffic Accidents

Climate (Basel), 2023-10, Vol.11 (10), p.199

2023

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A two-phase preventive maintenance policy considering imperfect repair and postponed replacement

European journal of operational research, 2019-05, Vol.274 (3), p.966-977

2019

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A Bayesian Control Chart for Monitoring Process Variance

Applied sciences, 2021-03, Vol.11 (6), p.2729

2021

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A double sampling scheme for process variability monitoring

Quality and reliability engineering international, 2017-12, Vol.33 (8), p.2193-2204

2017

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A Double Sampling Scheme for Process Mean Monitoring

IEEE access, 2017, Vol.5, p.6668-6677

2017

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A Simple Approach for Monitoring Business Service Time Variation

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-16

2014

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Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk

Lobachevskii journal of mathematics, 2018-04, Vol.39 (3), p.377-387

2018

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A phase II multivariate EWMA chart for monitoring multi-dimensional ratios of process means with individual observations

Computers & industrial engineering, 2023-09, Vol.183, p.109490, Article 109490

2023

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Using a new VSI EWMA average loss control chart to monitor changes in the difference between the process mean and target and/or the process variability

Applied mathematical modelling, 2013-09, Vol.37 (16-17), p.7973-7982

Yang, Su-Fen

2013

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Re‐Unveiling the energy efficiency impact: Paving the way for sustainable growth in ASEAN countries

Logarithmic confidence intervals for the cross-product ratio of binomial proportions under different sampling schemes

Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations

A new p‐control chart with measurement error correction

Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights

A New EWMA Control Chart for Monitoring Multinomial Proportions

Auxiliary information‐based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability

A Phase II depth‐based variable dimension EWMA control chart for monitoring process mean

Monitoring and Comparing Air and Green House Gases Emissions of Various Countries

The Non-Linear Relationship between Air Pollution, Labor Insurance and Productivity: Multivariate Adaptive Regression Splines Approach

Loss-Based Control Charts for Monitoring Non-Normal Process Data

Adjustment of Measurement Error Effects on Dispersion Control Chart with Distribution-Free Quality Variable

A new phase II EWMA dispersion control chart

Monitoring Process Variance Using an ARL-unbiased EWMA-p Control Chart

Estimation of mean value of a normal distribution with constraints on the relative error and d-risk

A new non-parametric CUSUM mean chart

Dynamic and Non-Linear Analysis of the Impact of Diurnal Temperature Range on Road Traffic Accidents

A two-phase preventive maintenance policy considering imperfect repair and postponed replacement

A Bayesian Control Chart for Monitoring Process Variance

A double sampling scheme for process variability monitoring

A Double Sampling Scheme for Process Mean Monitoring

A Simple Approach for Monitoring Business Service Time Variation

Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk

A phase II multivariate EWMA chart for monitoring multi-dimensional ratios of process means with individual observations

Using a new VSI EWMA average loss control chart to monitor changes in the difference between the process mean and target and/or the process variability

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