Results 101 to 110 of about 525,484 (302)

Hybrid exponentially weighted moving average control chart for mean by using different ranked set sampling schemes

open access: yesKuwait Journal of Science, 2020
In this paper different schemes of ranked set sampling (RSS) are used to design a new hybrid exponentially weighted moving average (HEWMA) control chart having more sensitivity to small and moderate shifts.The  suggested control chart  dominates ...
Muhammad Noor ul amin   +3 more
doaj  

A Computer Program to Calculate Two-Stage Short-Run Control Chart Factors for (X,MR) Charts

open access: yes
This paper is the second in a series of two papers that fully develops two-stage short-run (X, MR) control charts. This paper describes the development and execution of a computer program that accurately calculates first- and second-stage short-run ...
Kenneth E. Case, Matthew E. Elam
core  

Rheumatologic Manifestations of Patients With Type B Insulin Resistance

open access: yesArthritis Care &Research, EarlyView.
Objective The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life‐threatening ...
S. Amara Ogbonnaya   +4 more
wiley   +1 more source

USING THE STABLE DISTRIBUTION TO MONITOR A PROCESS, WHICH DISTRIBUTION IS UNKNOWN

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2014
The control chart is a tool of statistical quality control, which is widely used in production. The fulfillment of its basic assumptions, guarantees flawless assessment of correctness of the monitored process.
Magdalena Chmielińska
doaj  

An effective multivariate control chart for detecting small mean shifts using support vector data description

open access: yesAdvances in Mechanical Engineering, 2018
Conventional multivariate cumulative sum control charts are more sensitive to small shifts than T 2 control charts, but they cannot get the knowledge of manufacturing process through the learning of in-control data due to the characteristics of their own
Beixin Xia, Zheng Jian, Lei Liu, Long Li
doaj   +1 more source

EWMA Chart and Measurement Error

open access: yes
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control ...
Panaretos, John   +2 more
core  

Principal alarms in multivariate statistical process control [PDF]

open access: yes, 2006
This paper describes a methodology for the simulation of multivariate out of control situations using in-control data. The method is based on finding the independent factors of the variability of the process, and shifting these factors one by one.
González, Isabel, Sánchez, Ismael
core  

Poisson progressive mean control chart

open access: yes, 2017
In real life applications, many process-monitoring problems in statistical process control are based on attribute data resulting from quality characteristics that cannot be measured on numerical or quantitative scales.
Saddam Akber Abbasi   +1 more
core   +1 more source

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello   +5 more
wiley   +1 more source

Control C Charts with Reflections on Charts for Process Control

open access: yes
We start with the ideas in the papers “Chakraborti et al., Properties and performance of the c-chart for attributes data, Journal of Applied Statistics, January 2008” and “Bayesian Control Chart for Number of Defects in Production Quality Control. Mathematics 2024, 12, 1903.
openaire   +1 more source

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