نتایج جستجو برای: r control charts

تعداد نتایج: 1742947  

Journal: :Infection control and hospital epidemiology 1994
J T Lee

An outbreak of invasive aspergillosis among allogeneic bone marrow transplants: a case-control study. Infect Confvol1985;6:347-355. 3. Sherertz RJ, Belani A, Kramer BS. et al. Impact of air filtration on nosocomialA@ergil-lus infections. Unique risk of bone marrow transplant recipients. A discriminant scorecard for diagnosis of invasive pulmonary asper-gillosis in patients with acute leukemia. ...

Considering profiles as functional variables, two control charts are proposed for their monitoring in phase II. Due to its conformity with the nature of real-world profiles, applying functional model leads to proposed control charts obtained through functional data analysis techniques with desired features. These include simplicity in calculation and possibility of using them for different prof...

2003
A. Bhattacherjee B. Samanta

In recent years the importance of quality has become increasingly apparent due to global competition. According to Banker et al. (1998), quality is the most important strategic issue of top management. It is primarily concerned with consumer’s view of value desired and value received. In general, the term quality addresses two aspects: quality of design and quality of conformance. In the minera...

Journal: :iranian journal of fuzzy systems 2006
mohammad hassan fazel zarandi ismail burhan turksen ali husseinizadeh kashan

this paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. we extend the use o...

Journal: :Applied Mathematical Modelling 2018

Journal: :Int. J. Math. Mathematical Sciences 2011
Willem Albers

Attribute data from high quality processes can be monitored effectively by deciding on whether or not to stop at each time where r ≥ 1 failures have occurred. The smaller the degree of change in failure rate during Out-of-Control one wants to be optimally protected against, the larger r should be. Under homogeneity, the distribution involved is negative binomial. However, in health care monitor...

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