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Articles 1 - 11 of 11
Full-Text Articles in Other Statistics and Probability
Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game, Julianne Quinn
Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game, Julianne Quinn
All ECSTATIC Materials
Almost every decision you make is under uncertainty. Will I need a rain jacket in the afternoon? Will they say yes if I ask them out? Is 1 hour enough time to finish this assignment? Oftentimes, we can use computational modeling to simulate different scenarios of what might happen in the future to inform what decisions are best on average, or what decisions minimize the worst case outcome. For example, you could decide what player to draft for your Fantasy Football team by simulating player performance. In this activity, we will simulate how much water to release from a dam …
Waiting-Time Paradox In 1922, Naoki Masuda, Takayuki Hiraoka
Waiting-Time Paradox In 1922, Naoki Masuda, Takayuki Hiraoka
Northeast Journal of Complex Systems (NEJCS)
We present an English translation and discussion of an essay that a Japanese physicist, Torahiko Terada, wrote in 1922. In the essay, he described the waiting-time paradox, also called the bus paradox, which is a known mathematical phenomenon in queuing theory, stochastic processes, and modern temporal network analysis. He also observed and analyzed data on Tokyo City trams to verify the relevance of the waiting-time paradox to busy passengers in Tokyo at the time. This essay seems to be one of the earliest documentations of the waiting-time paradox in a sufficiently scientific manner.
Analysis And Forecasting Of The 360th Air Force Recruiting Group Goal Distribution, Tyler Spangler
Analysis And Forecasting Of The 360th Air Force Recruiting Group Goal Distribution, Tyler Spangler
Theses and Dissertations
This research utilizes monthly data from 2012-2017 to determine economic or demographic factors that significantly contribute to increased goaling and production potential in areas of the 360th Recruiting Groups. Using regression analysis, a model of recruiting goals and production is built to identify squadrons within the 360 RCGs zone that are capable of producing more or fewer recruits and the factors that contribute to this increased or decreased capability. This research identifies that a zones high school graduation rate, the number of recruiters, and the number of JROTC detachments in a zone are positively correlated with recruiting goals and that …
An Assessment Of The Performances Of Several Univariate Tests Of Normality, James Olusegun Adefisoye
An Assessment Of The Performances Of Several Univariate Tests Of Normality, James Olusegun Adefisoye
FIU Electronic Theses and Dissertations
The importance of checking the normality assumption in most statistical procedures especially parametric tests cannot be over emphasized as the validity of the inferences drawn from such procedures usually depend on the validity of this assumption. Numerous methods have been proposed by different authors over the years, some popular and frequently used, others, not so much. This study addresses the performance of eighteen of the available tests for different sample sizes, significance levels, and for a number of symmetric and asymmetric distributions by conducting a Monte-Carlo simulation. The results showed that considerable power is not achieved for symmetric distributions when …
Why Divide By (N-1) For Sample Standard Deviation?, Paul Savory
Why Divide By (N-1) For Sample Standard Deviation?, Paul Savory
Industrial and Management Systems Engineering: Instructional Materials
In statistics, the sample standard deviation is a widely used measure of the variability or dispersion of a data set. The standard deviation of a data set is the square root of its variance. In calculating the sample standard deviation, the divisor is the number of samples in the data set minus one (n-1) rather than n. This often confuses students. This paper offers a quick overview of why the divisor is (n-1) for calculating the sample standard deviation.
Dickey-Lincoln School Lakes Project Environmental Impact Statement: Appendix H: Noise Impact Assessment, Stone & Webster Engineering Corporation, New England Division, United States Army Engineer Division
Dickey-Lincoln School Lakes Project Environmental Impact Statement: Appendix H: Noise Impact Assessment, Stone & Webster Engineering Corporation, New England Division, United States Army Engineer Division
Dickey-Lincoln School Lakes Project
The overall project area can be described as a very quiet natural area remote from any major industrial activity, but subject to high traffic noise levels along the main road. Noise sensitive areas consist of low density residential areas in the villages and widely spaced residences along the main road. The estimated yearly average Ldn for all noise sensitive areas 1s 60 dB due to the close proximity of traffic to all residences. The yearly average Ldn decreases to 40 dB at 600 ft from the main road, and to 30 dB 1n the timberland areas.
Dickey-Lincoln School Lakes Project: Transmission System Planning Study, United States Department Of The Interior
Dickey-Lincoln School Lakes Project: Transmission System Planning Study, United States Department Of The Interior
Dickey-Lincoln School Lakes Project
The purpose of this report is to investigate various transmission system alternatives and recommend a plan of service to integrate power from the Dickey-Lincoln School Lakes (D-L) Project into the New England electric power transmission system.
Dickey-Lincoln School Lakes Project Power Alternatives Study : Task 2 Report, Acres American Incorporated
Dickey-Lincoln School Lakes Project Power Alternatives Study : Task 2 Report, Acres American Incorporated
Dickey-Lincoln School Lakes Project
This report presents the results of Task 2 of this study, the overall purpose of which is the evaluation of alternative methods of providing electrical energy in New England in lieu of the Dickey-Lincoln hydroelectric project. The final Task 1 report was presented in July 1976 and will, in conjunction with this Task 2 and subsequent Tasks 3 and 4 reports, ultimately become part of the "Environmental Impact Statement" for the Dickey-Lincoln Project.
Dickey-Lincoln School Lakes Project Power Alternatives Study Draft Report : Task 1 Through 4, Acres American Incorporated
Dickey-Lincoln School Lakes Project Power Alternatives Study Draft Report : Task 1 Through 4, Acres American Incorporated
Dickey-Lincoln School Lakes Project
This report presents the detailed findings of Tasks 1 through 4 of the Dickey-Lincoln School Lakes Project Power Alternatives Study undertaken for the New England Division of the Corps of Engineers, by Acres American Incorporated, Consulting Engineers of Buffalo, New York under the terms of Contract Number DACW33-76-C-0047. Earlier reports on Task 1 dated July 1976, on Task 2 dated January 1977 and on Task 3 dated March 1977 have been incorporated virtually unchanged into this Task 4 report.
Dickey-Lincoln School Lakes Project Power Alternatives Study : Task 1 Report, Acres American Incorporated
Dickey-Lincoln School Lakes Project Power Alternatives Study : Task 1 Report, Acres American Incorporated
Dickey-Lincoln School Lakes Project
This report presents the results of Task 1 of a study undertaken by Acres American Incorporated to evaluate alternative methods of providing electrical energy in lieu of the Dickey-Lincoln School Lakes Project. It is understood that this report will ultimately become part of the "Environmental Impact Statement" for the project.
Recommendations Of Alternative System Plans And Transmission Corridors For The Dickey/Lincoln School Hydroelectric Project, Vtn Environmental Sciences (Firm), Interior
Recommendations Of Alternative System Plans And Transmission Corridors For The Dickey/Lincoln School Hydroelectric Project, Vtn Environmental Sciences (Firm), Interior
Dickey-Lincoln School Lakes Project
The regional scope of this study (a three state area of approximately 33,000 square miles) necessitated an initial investigation to determine what data was available. Known and potential sources of data were identified through the use of the Environmental Data Reconnaissance Report* prepared by Comitta Frederick Associates for the United States Depart-ment of the Interior in March 1976. The collected data was then analyzed for its accuracy, reliability, mappability and compatibility with the scope of this study.