'Linear effect' presentation slideshows

Statistics for Managers Using Microsoft Excel

Statistics for Managers Using Microsoft Excel. Multiple Regression Models Chapter 12 Learning Objectives Explain the linear multiple regression model Interpret linear multiple regression computer output Explain multicollinearity Describe the types of multiple regression models.

973 views • 58 slides

Experimental Design

Experimental Design. Course: Methods and models for fMRI data analysis in neuroeconomics Christian Ruff Laboratory for Social and Neural Systems Research IEW, University of Zurich ICN & FIL, University College London With thanks to: Rik Henson Daniel Glaser.

588 views • 44 slides

Customer Relationship Management A Databased Approach

716 views • 43 slides

Experimental Design

Experimental Design. Christian Ruff With slides from: Rik Henson Daniel Glaser. Overview. Categorical designs Subtraction - Pure insertion, evoked / differential responses Conjunction - Testing multiple hypotheses Parametric designs Linear - Adaptation, cognitive dimensions

497 views • 41 slides

Experimental Design

Experimental Design. Christian Ruff With slides from: Rik Henson Daniel Glaser. Overview. Categorical designs Subtraction - Pure insertion, evoked / differential responses Conjunction - Testing multiple hypotheses Parametric designs Linear - Adaptation, cognitive dimensions

414 views • 41 slides

Parametric modulation, temporal basis functions and correlated regressors

Parametric modulation, temporal basis functions and correlated regressors. Mkael Symmonds Antoinette Nicolle Methods for Dummies 21 st January 2008. Outline. Parametric regressors: When are they useful? Parametric regressors: What do they mean? How to specify in SPM

373 views • 37 slides

Parametric modulation, temporal basis functions and correlated regressors

Parametric modulation, temporal basis functions and correlated regressors. Mkael Symmonds Antoinette Nicolle Methods for Dummies 21 st January 2008. Outline. Parametric regressors: When are they useful? Parametric regressors: What do they mean? How to specify in SPM

398 views • 37 slides

Experimental Design

Experimental Design. Christian Ruff With thanks to: Rik Henson Daniel Glaser. Statistical parametric map (SPM). Design matrix. Image time-series. Kernel. Realignment. Smoothing. General linear model. Gaussian field theory. Statistical inference. Normalisation. p <0.05. Template.

373 views • 37 slides

Polynomial regression models

819 views • 36 slides

Towards Optimal Network for Source Inversion

Towards Optimal Network for Source Inversion. Lingsen Meng, Jean-Paul Ampuero Seismo Lab,Caltech. Source Inversion Validation (SIV):. Finite fault inversion Different approaches and datasets Used to study source dynamics, ground motion ,coulomb stress

457 views • 26 slides

367 views • 22 slides

Model features, structure, operation

A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v. 3.0) A. D. Friend, A.K. Stevens, R.G. Knox, M.G.R. Cannell. Ecological Modelling 95 (1997) 249-287. Presented by Dahl Winters Geog 595, April 17, 2007. Model features, structure, operation.

248 views • 17 slides

The Evolution of Global Environmental Commitments

The Evolution of Global Environmental Commitments. Thomas Bernauer, Anna Kalbhenn, Vally Koubi, Gabi Ruoff International Political Economy Society Conference Philadelphia, 14. - 15.11.08. Research Question. To what extent is the evolution of global environmental commitments influenced by

295 views • 12 slides

Where are the nuggets ?

180 views • 10 slides