Results 51 to 60 of about 2,196 (141)

Distribution‐free multivariate process monitoring: A rank‐energy statistic‐based approach

open access: yesQuality and Reliability Engineering International, Volume 40, Issue 7, Page 4068-4087, November 2024.
Abstract In this paper, a multivariate process monitoring scheme based on the rank‐energy statistics is proposed which is suitable for high‐dimensional applications such as sensorless drive diagnosis. The rank‐energy statistic is based on multivariate ranks that is grounded on the measure transportation theory.
Niladri Chakraborty, Maxim Finkelstein
wiley   +1 more source

How to Make Chance Manageable : Statistical Thinking and Cognitive Devices in Manufacturing Control [PDF]

open access: yes
The industrial enterprise is an excellent place to view a great diversity of forms of control: control of finances and accounts, controls on the material operations of fabrication, of logistics, and control of people at every level.
Denis Bayart
core  

Pattern Recognition in Intensive Care Online Monitoring [PDF]

open access: yes, 2001
Clinical information systems can record numerous variables describing the patient’s state at high sampling frequencies. Intelligent alarm systems and suitable bedsidedecision support are needed to cope with this flood of information.
Fried, Roland   +2 more
core   +1 more source

Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies. [PDF]

open access: yes, 2013
A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000).
Eiden, Michael   +8 more
core   +2 more sources

Assessing changes in reliability methods over time: An unsupervised text mining approach

open access: yesQuality and Reliability Engineering International, Volume 40, Issue 6, Page 3597-3619, October 2024.
Abstract Reliability engineering faces many of the same challenges today that it did at its inception in the 1950s. The fundamental issue remains uncertainty in system representation, specifically related to performance model structure and parameterization.
Charles K. Brown, Bruce G. Cameron
wiley   +1 more source

Individuals charts and additional tests for changes in spread [PDF]

open access: yes
Some authors recommend the use of an additional test for detecting increases in the spread, when using a control chart for individual observations. We examine this recommendation both in a practical situation and theoretically. Both studies show that the
Trip, Albert, Wieringa, Jaap E.
core   +1 more source

Why FDA Has Adopted HACCP Regulations to Ensure the Safety of Food [PDF]

open access: yes, 2012
HACCP (Hazard Analysis and Critical Control Point) is a form of statistical quality control adopted by FDA as a regulatory tool to ensure the safety of seafood and juice products. HACCP evolved from the teachings of Walter A. Shewhart and W.
Axelrad, Seth
core  

SIM2PeD : intelligent monitoring system for prevention of diabetic foot [PDF]

open access: yes, 2016
Diabetes is an endocrine chronic disease that causes high blood sugar level, produced by retardation in, or deficiency of, glucose metabolism in the body of the individual with the disease.
Dulius, Jane   +5 more
core   +2 more sources

Warning signals for mental health problems in at‐risk young adults may be informed by momentary emotions reported by the general population: A novel application of the principles of statistical process control

open access: yesMental Health Science, Volume 2, Issue 3, September 2024.
Abstract Statistical process control (SPC) was recently introduced as a method for detecting person‐specific warning signals for mental ill‐health. Such warning signals occur when a person's repeatedly assessed emotions exceed a control limit. This control limit should in principle be based on the same person's emotions in a healthy period.
Marieke J. Schreuder   +5 more
wiley   +1 more source

Optimal Estimation and Sampling Allocation in Survey Sampling Under a General Correlated Superpopulation Model [PDF]

open access: yes, 2016
Sampling from a finite population with correlated units is addressed. The proposed methodology applies to any type of correlation function and provides the sample allocation that ensures optimal efficiency of the population parameters estimates.
Papageorgiou, Ioulia
core   +2 more sources

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