PPT-Statistical power in experiments in which samples of partic

Author : briana-ranney | Published Date : 2016-06-11

Jake Westfall University of Colorado Boulder David A Kenny Charles M Judd University of Connecticut University of Colorado Boulder Studies involving participants

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Statistical power in experiments in which samples of partic: Transcript

Jake Westfall University of Colorado Boulder David A Kenny Charles M Judd University of Connecticut University of Colorado Boulder Studies involving participants . Process . Control. W. Edwards Deming . The . main message of . Deming’s 14 items list . is that poor . quality occurs . as a result of the system and so should be corrected by the . management.. Deming . Gary Simpson. University of the West of Scotland. Fast-timing from below isomers ion-. g-g. Use selectivity of spectrometer + isomer decay. Know what isomer is. . 1. . 2. T. 1/2. . start. stop. . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . . . What is Experimental Design. Does knuckle-cracking cause arthritis in hands?. It is well claimed by many that continuous cracking of knuckles could lead to development of arthritis in your finger joints later in life.. Naomi Altman. Penn State. 2015 . Dagstuhl. Workshop. Some topics that might be interesting. Feature matching across. samples and platforms. Preprocessing. number of features >> number of samples . Research Objective. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. Ronny Kohavi, . GM, Experimentation Platform, Microsoft. Slides available at . http://exp-platform.com. Part 1. 2. Amazon . Shopping Cart . Recs. Add an item to your shopping cart at a website. Most sites show the cart. By. Ajinkya. . Thorve. Introduction. Advancement of tracking technologies has lead to increased data collection.. Collected data used, sold and resold for serving targeted advertisements.. Serious privacy concern!. RELATED TO NUCLEAR DATA. FOR FAST REACTOR APLICATIONS. DEN/CAD/DER/SPRC/. LEPh. . |. . Pierre Leconte. , David Bernard. , Cyrille de Saint Jean. DEN/. CAD/. DER/. SPEx. /LPE . |. Patrick Blaise, Benoit . Design and Analysis. STA 320. Design and Analysis of Causal Studies. Dr. Kari Lock Morgan and Dr. Fan Li. Department of Statistical Science. Duke University. Covariates. Pre-treatment variables. X: n x k covariate matrix. PPAP Meeting. Birmingham. 15 July 2009. Elisabeth Falk. University of Sussex. Def. current: running or under construction. Outline. Neutrino-oscillation experiments:. what to measure, and how. Accelerator-based experiments. Margherita. . Polacci. F. . Arzilli, G. La Spina, N. Le . Gall. , . R. . Torres-. Orozco. , M. E. . Hartley. , D. Di Genova, . R. . C. . Atwood. , E. . W. . . Llewellin. , . R. . . Brooker. , H. M. . Quantitative Engineering Approaches. What do we know?. How do we design experiments and scale ?. Implications. Nothing except parameters we can vary. Statistical Experimental Design . Lots of experiments at all scales. Elected member: International Statistical Institute. US Chair: International Statistical Literacy Project. 17 July 2014 ICOTS-9. www.StatLit.org/pdf/2014-Schield-ICOTS-Slides.pdf. ODYSSEY: A Journey to .

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