'Model comparison' diaporamas de présentation

Analyzing Non-Normal Data with Generalized Linear Models 2010 LISA Short Course Series

Analyzing Non-Normal Data with Generalized Linear Models 2010 LISA Short Course Series. Sai Wang, Dept. of Statistics. Presentation Outline. 1. Introduction to Generalized Linear Models 2. Binary Response Data - Logistic Regression Model Ex. Teaching Method

727 views • 58 slides

DCM for fMRI : Theory & Practice

DCM for fMRI : Theory & Practice. Peter Zeidman and Laura Madeley. Overview. Theory Why DCM? What DCM does The State Equation Application Planning DCM studies Hypotheses How to complete in SPM. Brains as Systems. Source: http://public.kitware.com/ImageVote/images/17/.

656 views • 48 slides

Modeling Wafer Surface Damage Caused During CMP

Modeling Wafer Surface Damage Caused During CMP. Terry A. Ring ? , Paul Feeney, Jaishankar Kasthurirangan, Shoutian Li, David Boldridge, James Dirksen. Cabot Microelectronics Corporation and 870 Commons Drive Aurora, IL 60504. ? Chemical Engineering Department

806 views • 42 slides

Probabilistic sequence modeling I: frequency and profiles

503 views • 39 slides

Business Statistics: Communicating with Numbers By Sanjiv Jaggia and Alison Kelly

Business Statistics: Communicating with Numbers By Sanjiv Jaggia and Alison Kelly. Chapter 14 Learning Objectives (LOs). LO 14.1: Conduct a hypothesis test for the population correlation coefficient. LO 14.2: Discuss the limitations of correlation analysis.

1.47k views • 38 slides

Contrasts & Statistical Inference

Contrasts & Statistical Inference. Guillaume Flandin Wellcome Trust Centre for Neuroimaging University College London. SPM Course London, October 2008. Image time-series. Statistical Parametric Map. Design matrix. Spatial filter. Realignment. Smoothing. General Linear Model.

680 views • 36 slides

Image Quality Assessment: From Error Visibility to Structural Similarity

Image Quality Assessment: From Error Visibility to Structural Similarity. Zhou Wang. Motivation. original Image. MSE=0, MSSIM=1. MSE=225, MSSIM=0.949. MSE=225, MSSIM=0.989. MSE=215, MSSIM=0.671. MSE=225, MSSIM=0.688. MSE=225, MSSIM=0.723. Perceptual Image Processing.

887 views • 36 slides

Uncorrelated and Autocorrelated relaxed phylogenetics

468 views • 35 slides

Cultural differences as statistical artefacts?

Cultural differences as statistical artefacts?. Reanalysing cross-national data with more advanced techniques. Dr Michael Hoelscher Department of Education University of Oxford. QMSS Conference Prague 21/06/2007. Overview. Context of the study Introduction to data

527 views • 28 slides

Presentation contents

Presentation contents. Project overview Oosterschelde hydrodynamics Methodology and Results Ria de Vigo hydrodynamics Methodology and Results Future work. Project overview. Hydrodynamics, turbulence and mussels More information on: http://www.maretec.mohid.com/projects/mabene.

529 views • 28 slides

Comparing demographic models using ABC

485 views • 27 slides

Likelihood Methods in Ecology

414 views • 26 slides

Subset Selection Problem

Subset Selection Problem. Oxana Rodionova & Alexey Pomerantsev Semenov Institute of Chemical Physics Russian Chemometric Society Moscow. Outline. Introduction. What is representative subset ? Training set and Test set Influential subset selection Boundary subset

449 views • 22 slides

THE QUARK NOVA PROJECT I

373 views • 21 slides

Diffuse Galactic ? -ray emission model

Diffuse Galactic ? -ray emission model. Igor V. Moskalenko (Stanford) with S. Digel (SLAC) T. Porter (UCSC) O. Reimer (Stanford) A. W. Strong (MPE). Diffuse Galactic Gamma-ray Emission. ~80% of total Milky Way luminosity at HE !!!

343 views • 20 slides

Solar Energy Potential in British Columbia

Solar Energy Potential in British Columbia. Geography 376 Project Alan Wiebe. Abstract. Determine topographic suitability of small-scale solar energy in BC Identify remote areas in BC that are possibly well-suited for small-scale solar energy. Introduction.

390 views • 18 slides

What beamline group will supply for the (day-1) oscillation analysis

What beamline group will supply for the (day-1) oscillation analysis. A.K.Ichikawa For T2K beamline group. Note. This is just a starting-point material for day-1 analysis. More discussion among the beamilne group is necessary. This note will be modified when more studies arises,

262 views • 15 slides

PROTOCOL FOR DETERMINING THE BEST PERFORMING AIR QUALITY MODEL

275 views • 12 slides

Ceding Company Considerations Broker Service and CAT Models

Ceding Company Considerations Broker Service and CAT Models. Wanchin W. Chou, FCAS, MAAA Liberty International 2006 Seminar on Reinsurance New York Hilton June 1-2, 2006. Broker Service Quality. Accuracy of Presentation. CAT Modeling Service. Creativity. Broker. Reinsurance Placement.

286 views • 11 slides

Extension to Multiple Regression

Extension to Multiple Regression. Simple regression. With simple regression, we have a single predictor and outcome, and in general things are straightforward though issues may arise regarding outliers and violations of assumptions The basic model is Y = b 0 + b 1 X + e.

121 views • 9 slides