Sequential rank CUSUM charts for angular data

Real-time Qualitätssicherung in der Lebertransplantation mit risikoadjustierten CUSUM Charts

Zeitschrift für Gastroenterologie ◽

10.1055/s-0038-1668822 ◽

2018 ◽

Vol 56 (08) ◽

pp. e264-e264

Author(s):

M Schoenberg ◽

J Hao ◽

A Vater ◽

J Bucher ◽

B Pöllmann ◽

...

Keyword(s):

Real Time ◽

Cusum Charts

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Faculty Opinions recommendation of Cumulative summation (CUSUM) charts in the monitoring of hypospadias outcomes: a tool for quality improvement initiative.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718194757.793488668 ◽

2013 ◽

Author(s):

Erim Erdem

Keyword(s):

Quality Improvement ◽

Quality Improvement Initiative ◽

Cumulative Summation ◽

Cusum Charts

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Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes

Quality and Reliability Engineering International ◽

10.1002/qre.2830 ◽

2020 ◽

Author(s):

Yang Zhang ◽

Yanfen Shang ◽

An‐Da Li

Keyword(s):

Count Data ◽

Sample Sizes ◽

Cusum Charts ◽

Poisson Count

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OC79: Quantitative quality assessment of nuchal translucency measurements at 11-14 weeks: a role for cumulative sum (CUSUM) charts and tests?

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.4185 ◽

2007 ◽

Vol 30 (4) ◽

pp. 391-391

Author(s):

L. J. Salomon ◽

R. Porcher ◽

J. P. Bernard ◽

P. Rozenberg ◽

Y. Ville

Keyword(s):

Quality Assessment ◽

Nuchal Translucency ◽

Cumulative Sum ◽

Cusum Charts

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Characterization and mapping of surface physical properties of Mars from CRISM multi-angular data: Application to Gusev Crater and Meridiani Planum

Icarus ◽

10.1016/j.icarus.2015.03.012 ◽

2015 ◽

Vol 253 ◽

pp. 271-295 ◽

Cited By ~ 15

Author(s):

J. Fernando ◽

F. Schmidt ◽

C. Pilorget ◽

P. Pinet ◽

X. Ceamanos ◽

...

Keyword(s):

Physical Properties ◽

Data Application ◽

Meridiani Planum ◽

Angular Data

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Information recovery in missing angular data cases: an approach by the convex projections method in three dimensions

Journal of Microscopy ◽

10.1111/j.1365-2818.1987.tb01313.x ◽

1987 ◽

Vol 145 (1) ◽

pp. 23-43 ◽

Cited By ~ 57

Author(s):

José María Carazo ◽

José L. Carrascosa

Keyword(s):

Three Dimensions ◽

Information Recovery ◽

Angular Data

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LAI Retrieval Based on PROSPECT-SAILH Model from Multi-Angular Data of WiDAS Imaging System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.518-523.5697 ◽

2012 ◽

Vol 518-523 ◽

pp. 5697-5703

Author(s):

Zhao Yan Liu ◽

Ling Ling Ma ◽

Ling Li Tang ◽

Yong Gang Qian

Keyword(s):

Remote Sensing ◽

Imaging System ◽

Remote Sensing Data ◽

Canopy Reflectance ◽

Area Index ◽

Sensing Data ◽

Spectral Bands ◽

Sensing Technology ◽

Leaf Optical Properties ◽

Angular Data

The aim of this study is to assess the capability of estimating Leaf Area Index (LAI) from high spatial resolution multi-angular Vis-NIR remote sensing data of WiDAS (Wide-Angle Infrared Dual-mode Line/Area Array Scanner) imaging system by inverting the coupled radiative transfer models PROSPECT-SAILH. Based on simulations from SAILH canopy reflectance model and PROSPECT leaf optical properties model, a Look-up Table (LUT) which describes the relationship between multi-angular canopy reflectance and LAI has been produced. Then the LAI can be retrieved from LUT by directly matching canopy reflectance of six view directions and four spectral bands with LAI. The inversion results are validated by field data, and by comparing the retrieval results of single-angular remote sensing data with multi-angular remote sensing data, we can found that the view angle takes the obvious impact on the LAI retrieval of single-angular data and that high accurate LAI can be obtained from the high resolution multi-angular remote sensing technology.

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