PPT-Module 2.7 Estimation of uncertainties

Module developers Giacomo Grassi Joint Research Centre Suvi Monni Benviroc Frédéric Achard Joint Research Centre Andreas Langner Joint Research Centre Martin Herold Wageningen University . g Gaussian so only the parameters eg mean and variance need to be estimated Maximum Likelihood Bayesian Estimation Non parametric density estimation Assume NO knowledge about the density Kernel Density Estimation Nearest Neighbor Rule brPage 3br CSC gutmannhelsinki Dept of Mathematics Statistics Dept of Computer Science and HIIT University of Helsinki aapohyvarinenhelsinki Abstract We present a new estimation principle for parameterized statistical models The idea is to perform nonlinear logist www.sbu.se/uncertaintiesscientific uncertainties – insufficiently assessed health technologies Phys. Accuracy and Precision. The . accuracy. of a measurement tells you how close the measurement is to the “true” or accepted value. . The . precision. of a measurement tells you something about the . Istanbul, 18.4.2013. Uncertainties in social work practice: a challenge or an incentive for ethical practice? . Does dealing with uncertainties lead to ethical expertise? . Research about ethical decision making (with social workers in Slovenia) – theories ‘produced’ by social workers. Problem Solving class 1 for Physics 1A and Higher Physics 1A. What are problem solving classes?. These form a bridge between lecture material, labs and the exam.. In some problem solving classes you will be introduced to material covered in the lab part of the course.. Aims. To be able to calculate the percentage uncertainty of a measurement. To be able to combine these uncertainties to evaluate the overall uncertainty in a derived result. A Speed camera takes two images of a moving car and works out speed by calculating distance/time. How do you think this image would help somebody appeal their fine in court?. A Practical Guide. What you should already know well. What you need to know, . and use. , in this lab. More details available in handout ‘Introduction to Experimental Error’ (2. nd. Year Web page).. Olaf Stiller, Axel Seifert . and. Martin Köhler. Deutscher Wetterdienst, Offenbach, Germany. An NWP perspective:. scientific understanding .   . capability to model . .. Uncertainties in . Chi Kong CHYONG. David . REINER. Danny RALPH. CUEN. Seminar Series – 25 Feb 2013. Background and Overview. Valuation . methodologies like Discounted Cash Flow (DCF) do not, on their own, offer an explicit way to incorporate uncertain future market or policy conditions that could have asymmetric impacts on investment performance into valuations. . Hong Zhang. 1. . Junxue. Zhang. 1. , . Wei Bai. 1. , Kai Chen. 1. , . Mosharaf. Chowdhury. 2. Datacenter networks --- multi-rooted trees (e.g., Fat-tree, Leaf-spine). Multiple-paths between each end host pair. Africa Regional Workshop on the Building of Sustainable National. Greenhouse Gas Inventory Management Systems, and the use of the 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Swakopmund. Uncertainties and Errors. Resolution. . This is the smallest change in a quantity that can be measured by an instrument.. E.g.. What is the resolution of. a. A 30cm ruler. b. An analogue wristwatch. Guus . Velders. The Netherlands. (. RIVM. ). Guus. . Velders. 2. Focus on Ozone-Depleting Substances. Projections of gases controlled by the Montreal Protocol. CFCs, halons, HCFCs, carbon tetrachloride, methyl chloroform, CH.