PSU STAT 504 - General description of bridge program (56 pages)

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General description of bridge program



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General description of bridge program

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Lecture Notes


Pages:
56
School:
Pennsylvania State University
Course:
Stat 504 - Analysis of Discrete Data

Unformatted text preview:

Center for Statistical Ecology and Environmental Statistics Evaluation of Multiple Indicators for Stream Channel Stability Near Bridges in the United States Multi Criteria Prioritization and Ranking with Differential Weights Stepwise Aggregations Hasse Diagrams Poset Cumulative Rank Frequency Operators and Markov Chain Monte Carlo Methods By G P Patil1 Jessica Newlin2 K Sham Bhat1 and Michael Kase1 1 Center for Statistical Ecology and Environmental Statistics Department of Statistics 2 Department of Civil and Environmental Engineering The Pennsylvania State University University Park PA 16802 USA NSF Project Officer Larry Brandt EPA Project Officer Barbara Levinson This material is based upon work partially supported by i the National Science Foundation under Grant No 0307010 ii The United States Environmental Protection Agency under Grant No CR 83059301 and iii The United States Environmental Protection Agency under Grant No R 828684 Any opinions findings and conclusions or recommendations expressed in this material are those of the author s and do not necessarily reflect the views of the agencies DRAFT Technical Report Number 2006 0504 TECHNICAL REPORTS AND REPRINTS SERIES May 2006 Department of Statistics The Pennsylvania State University University Park PA 16802 G P Patil Distinguished Professor and Director Tel 814 865 9442 Fax 814 865 1278 Email gpp stat psu edu http www stat psu edu gpp http www stat psu edu hotspots DGOnline News Environmental and Ecological Statistics Springer 1 Table of Contents 1 Introduction 1 1 1 General description of bridge program 1 1 2 Description of indicators Methods of data collection 1 1 3 Research Questions 5 2 Description of Analysis Methods 7 2 1 Hasse diagrams 7 2 2 Poset Prioritization 9 2 3 POSAC 14 2 4 2 Dimensional MPOSAC 17 2 5 One Way ANOVA F scores 17 2 6 Spearman s Correlation Coefficient 17 2 7 Concordance 17 2 8 METEOR 18 2 9 Rank Range Run 19 3 Analysis Results 20 3 1 Hasse diagrams 20 3 2 Poset Prioritization



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