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An Empirical Study on Correlation Patterns of Disruptions by Flooding HazardsWang, Jin 17 May 2014 (has links)
Flooding is one of the fatal natural hazards frequently generating serious impact to infrastructures. As yet, its characteristics are expected to be changing with the changing of global climate. This paper identifies the spatio-temporal correlation patterns of disruptions by flooding hazards at the county-level for the Deep South in the United States, particularly the state of Arkansas. The frequency of each flooding disruption calculated as time series, is generated from flooding records within research period of 1998-2013. A set of quality control procedures including duplicated data check, spatial outliers check, and homogeneity test is applied prior to the regression analysis. The spatial characteristic of those disruptions is identified by mapping them, while their temporal characteristic is assessed using correlation coefficient defined in this paper. Accordingly, greater correlation of disruptions by flooding is found with the decreasing of the distance between for most pairs of the locations throughout the study period.
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Robust estimation and testing : finite-sample properties and econometric applicationsYou, Jiazhong, 1968- January 2000 (has links)
No description available.
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Optimal regression design with cost constraint /Yen, Vincent Chai-Tse January 1975 (has links)
No description available.
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Regression on grouped data /Indrayan, Abhaya January 1977 (has links)
No description available.
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Regression on grouped data /Indrayan, Abhaya January 1977 (has links)
No description available.
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Stagewise and stepwise regression techniques in meteorological forecastingHess, H. Allen January 1978 (has links)
No description available.
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Ridge regression, a remedy for imprecise estimateAlagheband, Bijan M. D. January 1981 (has links)
No description available.
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The Applications of Regression Analysis in Auditing and Computer SystemsHubbard, Larry D. 05 1900 (has links)
This thesis describes regression analysis and shows how it can be used in account auditing and in computer system performance analysis. The study first introduces regression analysis techniques and statistics. Then, the use of regression analysis in auditing to detect "out of line" accounts and to determine audit sample size is discussed. These applications led to the concept of using regression analysis to predict job completion times in a computer system. The feasibility of this application of regression analysis was tested by constructing a predictive model to estimate job completion times using a computer system simulator. The predictive model's performance for the various job streams simulated shows that job completion time prediction is a feasible application for regression analysis.
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A study of the effect of non-normal distributions upon simple linear regressionWichlan, Daniel Joseph. January 1966 (has links)
LD2668 .T4 1966 W635 / Master of Science
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Semiparametric estimation in hazards models with censoring indicators missing at randomLiu, Chunling, 劉春玲 January 2008 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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