PPT-Error Models

Lecture 06 Thomas Herring tahmitedu Issues in GPS Error Analysis What are the sources of the errors How much of the error can we remove by better modeling Do we have enough information to infer the uncertainties from the data . FEC Basic Idea. Send redundant data . Receiver uses it to detect/correct errors. Reduces retransmissions/. NAKs. Useful when RTT is high. Types of FEC . Two types of FEC. Block codes (works on blocks/packets). Resources: . Problems in Evaluating Grammatical Error Detection Systems. , . Chodorow. et al.. Helping . Our Own: The HOO 2011 Pilot Shared . Task. , Dale and . Kilgarriff. . Errors in measurements. Errors which can be eliminated. Errors which can’t be eliminated. 1. Calamitous or catastrophic error. 2. Alignment error. 3. Errors due to ambient conditions . 4. Errors due to elastic deformation. The General Case. STA431: Spring 2013. See last slide for copyright information. An Extension of Multiple Regression. More than one regression-like equation. Includes latent variables. Variables can be explanatory in one equation and response in another. Todd A. Brun, Daniel A. . Lidar. ,. Ben . Reichardt. , Paolo . Zanardi. University of Southern California. The key to quantum computation. The most serious obstacle to realizing quantum computers is . Douglas Brock, PhD. Alicia Quella, PhD, MPAS, PA-C. Nobody is perfect . . .. . Objectives. Understand that error is common and difficult to reduce in healthcare settings.. Describe a . training exercise to . Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. T. A. . Herring M. . A. . Floyd. Massachusetts Institute of Technology. GAMIT/GLOBK/TRACK . Short Course . for GPS . Data Analysis. Korea Institute of Geoscience and Mineral Resources (KIGAM). To Model is Divine. Michael H. Birnbaum. California State University, . Fullerton. Edwards Bayesian Research Conference,. 2016. Comparison of Response Proportions. Do response proportions differ? . D. Models for. Count Data. Doctor Visits. Basic Model for Counts of Events. E.g., Visits to site, number of purchases, number of doctor visits. Regression approach. Quantitative outcome measured. Discrete variable, model probabilities. By,. B. R. Chandavarkar,. CSE Dept., NITK, Surathkal. Ref: . B. A. Forouzan, 5. th. Edition. This chapter is divided into five sections. .. The . first section introduces . types of errors. , the concept of redundancy, and . Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. Introduction. All transmitted signals will contain some rate of error (>0%). Popular error control methods include:. Parity bits (add a 1 or 0 to the end of each seven bits). Longitudinal redundancy checking (LRC). Frank Wood fwoodstatcolumbiaeduLinear Regression Models Lecture 3 Slide 2Least Squares MaxminimizationFunction to minimize wrt Minimize this by maximizing QFind partials and set both equal to zero go