Searching: "uncertainty" in the DMelt project

Search results in document titles:

  1. Jython Jython Example: propog_errors2.py [100%] Measurements/ErrorPropogation Uncertainty (error) propogation for multiple measurements
  2. Jython Jython Example: propog_errors3.py [83%] Measurements/ErrorPropogation Uncertainty (error) propogation using a Taylor expansion for complex functions
  3. Jython Jython Example: propog_errors1.py [83%] Measurements/ErrorPropogation Complex error (uncertainty) propogation with covariance matrix
  4. Jython Jython Example: errors_mc.py [83%] Measurements/ErrorPropogation Uncertainty (error) propogation using a custom Monte Carlo method
  5. Jython Jython Example: errors_mc_multi.py [66%] Measurements/ErrorPropogation Uncertainty (error) propogation using a Monte Carlo method and complex functions

Search results in document content:

  1. Jython Jython example: propog_errors3.py [100%] ..ion | p | 1.0 | s.chekanov | uncertainty (error) propogation using a t..
  2. Java API Java API: jhpro.tseries.Peak class [70%] .. creates new peak assuming no uncertainty in values. peak(double p, do..
  3. Java API Java API: visad.RealIface interface [66%]
  4. Java API Java API: jhpro.upropog.UPropogate class [60%] ..on. double getstd() get total uncertainty as standard deviation. method..
  5. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/2 Bayesian Neural Net [60%] ..s a model for reasoning about uncertainty. bayesian_network = using gui..
  6. Jython Jython example: propog_errors1.py [60%] ..| s.chekanov | complex error (uncertainty) propogation with covariance ..
  7. Jython Jython example: errors_mc_multi.py [50%] ..on | p | 1.0 | s.chekanov | uncertainty (error) propogation using a m..
  8. Jython Jython example: propog_errors2.py [50%] ..on | p | 1.0 | s.chekanov | uncertainty (error) propogation for multi..
  9. Wiki Wiki: http://jwork.org/wiki/DMelt:Units/3 Error Propagation [43%] ..error propagation = error (or uncertainty) propagation for arbitrary (a..
  10. Jython Jython example: errors_mc.py [40%] ..on | p | 1.0 | s.chekanov | uncertainty (error) propogation using a c..
  11. Java API Java API: javax.measure package [30%]
  12. Java API Java API: visad.Real class [30%]
  13. Wiki Wiki: http://jwork.org/wiki/DMelt:DataAnalysis/6 Advanced Data Fitting [25%] ..eter correlations # calculate uncertainty on the fit parameters # plot ..
  14. Java API Java API: jhpro.stat.limit.StatConfidence class [25%] ..it - (or efficiency) sigma - (uncertainty on efficiency) limitguess - i..
  15. Wiki Wiki: http://jwork.org/wiki/DMelt:Units/2 Measurements with Units [20%] ..at each value has measurement uncertainty ("error"). from org.jscience..
  16. Java API Java API: jhpro.stat.DataSource class [20%] ..t. one can specify systematic uncertainty for signal, background and da..
  17. Wiki Wiki: http://jwork.org/wiki/DMelt:DataAnalysis/1 Data Structures [17%] ..2nd level (usually systematic uncertainty). the dimension of this array..
  18. Java API Java API: org.jscience.mathematics.number.Real class [15%] ..ecision with known/guaranteed uncertainty. a real number consists of a ..
  19. Java API Java API: jhplot.P1D class [8%]