Ridwan A. Sanusi
Cited by
Cited by
Combined Shewhart CUSUM charts using auxiliary variable
RA Sanusi, M Riaz, N Abbas
Computers & Industrial Engineering 105, 329-337, 2017
Efficient homogeneously weighted moving average chart for monitoring process mean using an auxiliary variable
NA Adegoke, ANH Smith, MJ Anderson, RA Sanusi, MDM Pawley
IEEE Access 7, 94021-94032, 2019
On efficient CUSUM-type location control charts using auxiliary information
RA Sanusi, N Abbas, M Riaz
Quality Technology & Quantitative Management 15 (1), 87-105, 2018
An EWMA monitoring scheme with a single auxiliary variable for industrial processes
RA Sanusi, M Riaz, NA Adegoke, M Xie
Computers & Industrial Engineering 114, 1-10, 2017
EWMA-type scheme for monitoring location parameter using auxiliary information
NA Adegoke, M Riaz, RA Sanusi, ANH Smith, MDM Pawley
Computers & Industrial Engineering 114, 114-129, 2017
Simultaneous monitoring of magnitude and time-between-events data with a Max-EWMA control chart
RA Sanusi, SY Teh, MBC Khoo
Computers & Industrial Engineering 142, 106378, 2020
On designing Maxwell CUSUM control chart: an efficient way to monitor failure rates in boring processes
MP Hossain, RA Sanusi, MH Omar, M Riaz
The International Journal of Advanced Manufacturing Technology 100, 1923-1930, 2019
A comparative study of some EWMA schemes for simultaneous monitoring of mean and variance of a Gaussian process
RA Sanusi, A Mukherjee, M Xie
Computers & Industrial Engineering 135, 426-439, 2019
A combination of max‐type and distance based schemes for simultaneous monitoring of time between events and event magnitudes
RA Sanusi, A Mukherjee
Quality and Reliability Engineering International 35 (1), 368-384, 2019
Using FIR to improve CUSUM charts for monitoring process dispersion
RA Sanusi, M Riaz, N Abbas, MR Abujiya
Quality and Reliability Engineering International 33 (5), 1045-1056, 2017
Cases of road traffic accident in Nigeria: a time series approach
RA Sanusi, FB Adebola, NA Adegoke
Mediterranean journal of social sciences 7 (2), S1, 2016
New efficient exponentially weighted moving average variability charts based on auxiliary information
SA Abbasi, M Riaz, S Ahmad, RA Sanusi, M Abid
Quality and Reliability Engineering International 36 (7), 2203-2224, 2020
A class of regression estimator with cum-dual ratio estimator as intercept
FB Adebola, NA Adegoke, RA Sanusi
International Journal of Probability and Statistics 4 (2), 42-50, 2015
Mapping three versions of the international classification of diseases to categories of chronic conditions
AF Hamad, V Vasylkiv, L Yan, R Sanusi, O Ayilara, JA Delaney, ...
International Journal of Population Data Science 6 (1), 2021
Distribution-free hybrid schemes for process surveillance with application in monitoring chlorine content of water
RA Sanusi, ZL Chong, A Mukherjee, M Xie
Chemometrics and Intelligent Laboratory Systems 206, 104099, 2020
Consequences of road traffic accident in Nigeria: time series approach
FB Adebola, NA Adegoke, RA Sanusi
International Journal of Computer Applications Technology and Research 4 (4 …, 2015
Monitoring multivariate coefficient of variation for high‐dimensional processes
NA Adegoke, A Dawod, OA Adeoti, RA Sanusi, SA Abbasi
Quality and Reliability Engineering International 38 (5), 2606-2621, 2022
Transitions between versions of the International Classification of Diseases and chronic disease prevalence estimates from administrative health data: a population-based study
RA Sanusi, L Yan, AF Hamad, OF Ayilara, V Vasylkiv, MJ Jozani, ...
BMC Public Health 22 (1), 701, 2022
Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures
TT Sajobi, RA Sanusi, NE Mayo, R Sawatzky, L Kongsgaard Nielsen, ...
Quality of Life Research 33 (3), 853-864, 2024
Flexible Monitoring Methods for High-yield Processes
T Mahmood, RA Sanusi, M Xie
International Workshop on Intelligent Statistical Quality Control, 45-63, 2019
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