Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Comparison Between Analytical Probabilistic And Computer Simulation Models, Using Current Design Examples, Barry A. Palynchuk Phd
Comparison Between Analytical Probabilistic And Computer Simulation Models, Using Current Design Examples, Barry A. Palynchuk Phd
Barry A. Palynchuk PhD
Closed form analytical expressions have been developed to solve several basic problems related to the hydrologic design of storm water management facilities. The collection of these analytical expressions is referred to as the Analytical Probabilistic Storm Water Models (APSWM). APSWM can be used as an alternative to the design storm simulation models in the design and analysis of storm water management facilities. In this paper, a comparison is made between APSWM and design storm simulation models as applied to an actual design case. Conventional outputs such as runoff volume, peak discharge, and peak discharge from detention ponds are reviewed and …
Development Of A Regression Model For Estimating The Effects Of Assumption Violations On Type I Error Rates In The Student's T Test: Implications For Practitioners, John Fraas, Isadore Newman, Rosalie J. Hall
Development Of A Regression Model For Estimating The Effects Of Assumption Violations On Type I Error Rates In The Student's T Test: Implications For Practitioners, John Fraas, Isadore Newman, Rosalie J. Hall
John W. Fraas
No abstract provided.
Ordinary Least Squares Regression, Discriminant Analysis,And Logisitic Regression: Questions Researchers And Practioners Should Address When Selecting An Analytic Technique, John Fraas, Isadore Newman
Ordinary Least Squares Regression, Discriminant Analysis,And Logisitic Regression: Questions Researchers And Practioners Should Address When Selecting An Analytic Technique, John Fraas, Isadore Newman
John W. Fraas
No abstract provided.
Long-Run Models Of Oil Stock Prices, Alessandro Lanza, Matteo Manera, Massimo Giovannini, Margherita Grasso
Long-Run Models Of Oil Stock Prices, Alessandro Lanza, Matteo Manera, Massimo Giovannini, Margherita Grasso
Matteo Manera
The identification of the forces that drive oil stock prices is extremely important given the size of the Oil&Gas industry and its links with the energy sector and the environment. In the next decade oil companies will have to deal with international policies to contrast climate change. This issue is likely to affect companies’ shareholder values. In this paper we focus on the long-run financial determinants of the stock prices of six major oil companies (Bp, Chevron-Texaco, Eni, Exxon-Mobil, Royal Dutch Shell, Total-Fina-Elf) using multivariate cointegration techniques and vector error correction models. Weekly oil stock prices are analyzed together with …