PDF-Experimental evaluation of CubicTCP D

J Leith RNShorten GMcCullagh Hamilton Institute Ireland Abstract In this paper we present an initial experimental evaluation of the recently proposed CubicTCP algorithm R e sults are presented using a suite of benchmark tests that hav been rec. Rosemarie Nagel . Universitat Pompeu Fabra. , . ICREA, BGSE . April 2012 . Course content. (in red: replication of experiment). Week 1. Introduction . guessing game. Week 2. Bargaining/public goods . Stelios Joannou. & Rajeev Raman. University of Leicester. 7 May 2011. 10th International Symposium on Experimental Algorithms. Introduction. There is increasing use of in-memory RAM dynamic data structures (DS) to store large dynamic data sets. . Analysis of Biological Data. Ryan McEwan and Julia Chapman. Department of Biology. University of Dayton. ryan.mcewan@udayton.edu. Experimental design is like a game a chess, . you must . think. first, before you move…. Graham C L Davey. University of Sussex, . UK. http://. www.papersfromsidcup.com. http://www.psychologytoday.com/blog/why-we-. worry. 3 Misunderstandings of EP by Clinical Psychologists/Psychiatrists. The purpose of this PowerPoint is to present strategies to aid students at the high school and introductory college levels to:. Design experiments. Write procedures. Construct tables and graphs. Generate ideas. C344. Types of Scientific Papers. Experimental. Ideal for IMRAD—Introduce the problem present current study, discuss implications. Theoretical. Purpose is to present new hypothesis based on previous data, not to add data (re-interpretive). Experimental probability. : . Probability based on a collection of data.. Will have a table of results or data from the experiment(s)!. What is the difference between . theoretical probability. and . Variation between plots treated alike is . always. present. Modern experimental design should:. provide a measure of experimental error variance. reduce experimental error as much as possible. Natural sources of error in field experiments. Learning objectives. By the end of this presentation, you will be able to:. Explain evaluation design . Describe . the differences between types of evaluation . designs. Identify . the key . elements . So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . Presented by: Tom Chapel Focus On… “ Thinking About Design ” Design Choice Evaluation design is informed by standards: Utility Feasibility Propriety Accuracy Utility especially is key-- what is the purpose/ user/use of the evaluation? M. Betz. (CERN, Geneva). M. . Gasior. (CERN, Geneva). F. . Caspers. (CERN, Geneva). M. . Thumm. (KIT, Karlsruhe). Gentner. day. 10/2011, CERN, Geneva. Outline. Introduction to . IV External Validity Graham C L Davey. University of Sussex, . UK. http://. www.papersfromsidcup.com. http://www.psychologytoday.com/blog/why-we-. worry. 3 Misunderstandings of EP by Clinical Psychologists/Psychiatrists.