'Relative uncertainty' diaporamas de présentation

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Outline/Harris,2e Chapter 4 - Statistics

Outline/Harris,2e Chapter 4 - Statistics. We have already seen in Chapter 3 that all laboratory measurements have errors. The Two Types of Errors are Determinate Errors Random Errors.

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METR 5970.002 Advanced Atmospheric Radiation

METR 5970.002 Advanced Atmospheric Radiation. Dave Turner Lecture 12. Random vs. Systematic Error. True value. Observations. Large random error and small bias. Large random error and large bias. Small random error and small bias. Small random error and large bias.

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Superimpose a finely-spaced grid over the figure and count squares.

Describe 3 entirely different (but practical) ways for determining the area (in cm 2 ) of the darkened region below (design is on a piece of paper) to within 0.1%. Superimpose a finely-spaced grid over the figure and count squares.

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Methods to estimate uncertainties EU Workshop on uncertainties in greenhouse gas inventories

Methods to estimate uncertainties EU Workshop on uncertainties in greenhouse gas inventories. 5 to 6 th September 2005, Helsinki, Finland. John Watterson 1 , Justin Goodwin 1 , Melissa Downes 1 , Alistair Manning 2 , and Lorna Brown 3. With thanks to John Abbott 1 and Neil Passant 1.

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Homework

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Physical Hydrology & Hydroclimatology ( Multiscale Hydrology)

Physical Hydrology & Hydroclimatology ( Multiscale Hydrology). A science dealing with the properties, distribution and circulation of water. R. Balaji balajir@colorado.edu CVEN5333 http://civil.colorado.edu/~balajir/CVEN5333. Lectures 3-4-5. Reservoir sizing Sequent Peak method

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Terminology pinpoint

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Retrieval Algorithm Frameworks

Retrieval Algorithm Frameworks. Dave Turner NOAA National Severe Storms Laboratory Kerstin Ebell University of Cologne. DOE / EU Ground-based Cloud and Precipitation Retrieval Workshop. Motivation. Remote sensors seldom measure the quantity that is really desired

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Linear Discriminant Analysis (LDA) for selection cuts :

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Part I: Muon g-2 theory update / motivation Part II: Possibilities for FNAL experiment at 0.1 ppm

Part I: Muon g-2 theory update / motivation Part II: Possibilities for FNAL experiment at 0.1 ppm. David Hertzog University of Illinois at Urbana-Champaign. The theory situation Stronger motivation now compared to 2004 The basic experimental requirements The BNL plan

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Measurement of Muon (g-2) and Future Prospects

Measurement of Muon (g-2) and Future Prospects. David Hertzog University of Illinois at Urbana-Champaign. Motivation The theory situation The basic experimental requirements Specifics. Our piece of the PhiPsi08 poster. UED. Here is an example, related to g-2. SUSY.

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Velocity and Charge Reconstruction with the RICH detector of the AMS experiment

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Confidence-Based Assessment of Two-Alternative Format Tests AHMED A. BELAL (1) & DIALA F.AMMAR (2)

Confidence-Based Assessment of Two-Alternative Format Tests AHMED A. BELAL (1) & DIALA F.AMMAR (2) ( 1)Computer Engineering and Informatics- Beirut Arab University, Lebanon (2)Psychology department, Lebanese American University, Lebanon abelal@bau.edu.lb. Computer Aided Assessment

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Fair Value Measurements Accounting Standards Update 2009-12

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Propagation of Error

Propagation of Error. Analysis of Data. Simplest Case. Consider some measurement of a parameter, x , that leads to the computation of a result, z : z = f ( x ) A measured value, say x o , leads to the calculation of z o .

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Randall Martin Aaron Van Donkelaar

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Climate Information and Agricultural Risk Management

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EIC TF meeting, Feb 16 th , 2012

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Simulated data sets Extracted from:

Simulated data sets Extracted from:. The data sets shared a common time period of 30 years and age range from 0 to 16 years.

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