uncertml.org uncertml.org

uncertml.org

UncertML : Exchanging uncertainty since 2006.

Describing and exchanging uncertainty. Uncertainty Markup Language: UncertML. UncertML is a conceptual model. Designed for encapsulating probabilistic uncertainties. This website contains all the information you will need to start using UncertML to quantify and exchange your data uncertainties. For a detailed description of the models and XML schema, including use case examples, look no further than the dictionary and user guide. And exchange complex uncertainties. In data. The interoperable. For a compl...

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UncertML : Exchanging uncertainty since 2006. | uncertml.org Reviews
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Describing and exchanging uncertainty. Uncertainty Markup Language: UncertML. UncertML is a conceptual model. Designed for encapsulating probabilistic uncertainties. This website contains all the information you will need to start using UncertML to quantify and exchange your data uncertainties. For a detailed description of the models and XML schema, including use case examples, look no further than the dictionary and user guide. And exchange complex uncertainties. In data. The interoperable. For a compl...
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1 about uncertml
2 api documentation
3 user guide
4 and xml encoding
5 what is it
6 samples
7 statistics
8 probability distributions
9 randomsample
10 unknownsample
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UncertML : Exchanging uncertainty since 2006. | uncertml.org Reviews

https://uncertml.org

Describing and exchanging uncertainty. Uncertainty Markup Language: UncertML. UncertML is a conceptual model. Designed for encapsulating probabilistic uncertainties. This website contains all the information you will need to start using UncertML to quantify and exchange your data uncertainties. For a detailed description of the models and XML schema, including use case examples, look no further than the dictionary and user guide. And exchange complex uncertainties. In data. The interoperable. For a compl...

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uncertml.org uncertml.org
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UncertML : Exchanging uncertainty since 2006.

http://www.uncertml.org/dictionary

Describing and exchanging uncertainty. UncertML: Dictionary and user guide. The UncertML dictionary and user guide is a dictionary that contains definitions and examples of all distributions. To begin browsing the dictionary, please click on a link below:.

2

UncertML : Exchanging uncertainty since 2006.

http://www.uncertml.org/statistics/covariance-matrix

Describing and exchanging uncertainty. Http:/ www.uncertml.org/statistics/covariance-matrix. Variance-covariance matrix, Variance matrix. UncertML. It is possible that future versions of! UncertML will have specialised types for simpler covariance matrices, such as sparse, outer product, block and n-diagonal matrix types. The number of random variables. Summary statistic, Multivariate. Http:/ mathworld.wolfram.com/CovarianceMatrix.html.

3

UncertML : Exchanging uncertainty since 2006.

http://www.uncertml.org/statistics/interquartile-range

Describing and exchanging uncertainty. Http:/ www.uncertml.org/statistics/interquartile-range. The interquartile range is the range between the 1st and 3rd quartiles. It contains the middle 50% of the sample realisations (or of the sample probability). It is typically used and shown in box plots. Summary statistic, dispersion, robust. Http:/ mathworld.wolfram.com/InterquartileRange.html. Single value {InterquartileRange:{lower:[3.14],upper:[6.28]} / Multiple values {InterquartileRange:{lower:[3&#...

4

UncertML : Exchanging uncertainty since 2006.

http://www.uncertml.org/statistics/mean

Describing and exchanging uncertainty. Http:/ www.uncertml.org/statistics/mean. Arithmetic mean, average, expectation. UncertML however does not deal with issues of sample size, rather the mean is taken to refer to the population mean. Summary statistic, central tendency, ordinal variables, continuous variables. Http:/ en.wikipedia.org/wiki/Arithmetic mean. Single value - un:Mean xmlns:un=http:/ www.uncertml.org/2.0 un:values 3.14 /un:values /un:Mean!

5

UncertML : Exchanging uncertainty since 2006.

http://www.uncertml.org/statistics/kurtosis

Describing and exchanging uncertainty. Http:/ www.uncertml.org/statistics/kurtosis. The kurtosis of a distribution is a measure of how peaked the distribution is. The kurtosis is defined as $ frac{ mu 4}{ sigma 4} $ where $ mu 4 $ is the 4-th centred moment. Of the distribution and $ sigma $ is its standard deviation. Summary statistic, ordinal variables, continuous variables, dispersion. Http:/ mathworld.wolfram.com/Kurtosis.html. Any real number = -2.

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geoviqua.org geoviqua.org

GeoViQua

http://www.geoviqua.org/QualityML.htm

This project have received founding from de European Community's Seventh Framework Program (FP7/2007-2013) under grant agreement nº265178. GeoViQua powered by Google. This project has received funding from the European Community's Seventh Framework Program (FP7/2007-2013) under grant agreement nº265178. OGC UF Standard Workimg Group. Link to the QualityML website. Encoding. However it also extends UncertML to provide list of alternative metrics that are commonly used to quantify quality. Additional infor...

q2o.whoi.edu q2o.whoi.edu

RELATED LINKS AND OTHER RESOURCES | q2o

http://q2o.whoi.edu/node/95

RELATED LINKS AND OTHER RESOURCES. Posted January 16th, 2008 by cisadm. Quality Assurance in Real-time Oceanographic Data (QARTOD). Open Geospatial Consortium/Sensor Web Enablement (OGC/SWE). Oceans Interoperabilty Experiment (OGC/OIE). Marine Metadata Interoperability project (MMI). Content Standard for Digital Geospatial Metadata Workbook. Background Information on SensorML. OOSTethys Cookbooks for applications that support OGC Sensor Observational Services. What IS RDF and why is it important?

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UncertML : Exchanging uncertainty since 2006.

Describing and exchanging uncertainty. Uncertainty Markup Language: UncertML. UncertML is a conceptual model. Designed for encapsulating probabilistic uncertainties. This website contains all the information you will need to start using UncertML to quantify and exchange your data uncertainties. For a detailed description of the models and XML schema, including use case examples, look no further than the dictionary and user guide. And exchange complex uncertainties. In data. The interoperable. For a compl...

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