'Final model' presentation slideshows

LESSONS FROM THE USE OF PRECISION DAIRY TECHNOLOGIES

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Advanced Methods and Analysis for the Learning and Social Sciences

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Approaching a Problem

Approaching a Problem. Where do we start? How do we proceed?. Where Do We Start?. Start with the requirements Capture your goals and possible constraints Environmental assumptions Use-case analysis to better understand your requirements Find actors and a first round of use-cases

512 views • 44 slides

Female Circumcision and HIV Infection in Tanzania: for Better or for Worse?

Female Circumcision and HIV Infection in Tanzania: for Better or for Worse?. Rebecca Y. Stallings, ? 2 Statisticus Consultoris, USA and Emilian Karugendo, National Bureau of Statistics, Tanzania. Data Source.

843 views • 39 slides

Molecular replacement and model-building using distant homology models as templates

Molecular replacement and model-building using distant homology models as templates. ACA Trueblood Award Lecture July 24, 2013 Honolulu, Hawaii. Tom Terwilliger Los Alamos National Laboratory. Kenneth Trueblood 1920-1998.

718 views • 38 slides

Announcements

Announcements. Next exam is scheduled for Monday March 31. Due to the ice week, it will be delayed one week to Monday April 7. Tentatively will cover the rest of Chapter 5 (from Kepler) and all of Chapter 6 and some of Chapter 7. Sample questions will be posted tomorrow.

427 views • 32 slides

Boosting and Additive Trees (2)

Boosting and Additive Trees (2) . Yi Zhang , Kevyn Collins-Thompson Advanced Statistical Seminar 11-745 Oct 29, 2002. Recap: Boosting (1). Background: Ensemble Learning Boosting Definitions, Example AdaBoost Boosting as an Additive Model Boosting Practical Issues

507 views • 26 slides

Water Management In Ayubia National Park

Water Management In Ayubia National Park. Study Participants Hassan Bukhari, Kanwal Rizvi Joveria Baig, Wafa Veljee Syed Ali Raza LUMS School of Science and Engineering International Conference on Water Resources, Engineering and Management 2011, UET. Motivation.

369 views • 26 slides

Characterizing Persistent Disturbing Behavior Using Longitudinal and Multivariate Techniques

Characterizing Persistent Disturbing Behavior Using Longitudinal and Multivariate Techniques. Jan Serroyen, UHasselt Liesbeth Bruckers , UHasselt Geert Rogiers, PZ Sancta Maria Geert Molenberghs, UHasselt. Outline. Persistent Disturbing Behavior (PDB) Research questions Pilot study

310 views • 21 slides

7 th Grade Integrated Science

318 views • 19 slides

Observing the Seen and the Unseen: Computer & Social Mediation of a Complex Biological System

Observing the Seen and the Unseen: Computer & Social Mediation of a Complex Biological System. Catherine Eberbach & Cindy Hmelo-Silver Rutgers University. Exploring Observation of Complex Systems. Scientific Observation is a complex practice

337 views • 19 slides

235 views • 17 slides

Racial/Ethnic Disparities in Adults Reading to Two Year Old Children: A Population-based Study

Racial/Ethnic Disparities in Adults Reading to Two Year Old Children: A Population-based Study. Olivia Sappenfield Emory University School of Public Health Office of Family Health, Oregon Public Health Division Ken Rosenberg, MD, MPH Office of Family Health, Oregon Public Health Division

241 views • 16 slides

Models of the geomagnetic field on the territory of the Republic of Macedonia

531 views • 15 slides

Homework this week: revise for a test of all key terms so far on MONDAY 25 th FEBRUARY

Homework this week: revise for a test of all key terms so far on MONDAY 25 th FEBRUARY. DO NOW: How do the pieces of research by Logie and Paulesu support the working memory model?. Learning Objective: To evaluate the working memory model.

548 views • 15 slides

Lecture 16

Lecture 16. MCMC for Poisson response models. Lecture Contents. Multilevel Poisson Model MCMC Algorithms for Poisson Models MLwiN for Poisson models WinBUGS for Poisson models Comparisons. Multilevel Poisson model.

514 views • 14 slides

198 views • 8 slides

Plan of Making (Flow Charts)

212 views • 6 slides

Non-life insurance mathematics

Non-life insurance mathematics. Nils F. Haavardsson, University of Oslo and DNB Skadeforsikring. Insurance works because risk can be diversified away through size. The core idea of insurance is risk spread on many units

196 views • 4 slides

Log-linear Analysis

Log-linear Analysis. Log-linear analysis is used when the outcome and explanatory variables are both categorical. It is an extension of the ? 2 test for two by two contingency table.

802 views • 2 slides