Arab voices: the human rights debate in the Middle East
In: Routledge library editions. Society of the Middle East, Volume 4
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In: Routledge library editions. Society of the Middle East, Volume 4
In: The journal of North African studies, Band 14, Heft 3-4, S. 397-415
ISSN: 1743-9345
In: The journal of North African studies, Band 14, Heft 3, S. 397-415
ISSN: 1743-9345
In: The journal of North African studies, Band 12, Heft 3, S. 277-286
ISSN: 1743-9345
In: The journal of North African studies, Band 3, Heft 2, S. 130-137
ISSN: 1743-9345
In: The Middle East journal, Band 47, Heft 1, S. 135
ISSN: 0026-3141
In: Dialectical anthropology: an independent international journal in the critical tradition committed to the transformation of our society and the humane union of theory and practice, Band 4, Heft 3, S. 205-224
ISSN: 1573-0786
In: Dialectical anthropology: an independent international journal in the critical tradition committed to the transformation of our society and the humane union of theory and practice, Band 2, Heft 1-4
ISSN: 1573-0786
Starting January 1, 2018, the Department of Defense new Blended Retirement System (BRS) will go into effect. Military members with less than twelve years of service will have the option to either remain in the current High 3 Retirement System or opt into the BRS. This decision will have a lasting impact on their lives well beyond their military careers. With this in mind, we have developed a Decision Support System that will enable service members to compare the two retirement choices in terms of annual and total lifetime expected value. There were three phases to the development of the decision support tool. First, we identified Simple Exponential Smoothing Method and Artificial Neural Networks as the most accurate forecasting techniques to predict the Thrift Savings Plan Funds' rate of return. Next, we identified surrogate TSP portfolios based on minimizing downside risk. In the third phase, we identified risk tolerance and the continuation pay multiplier as the key drivers for differentiating between the two systems. Finally, the resulting Decision Support System leverages current time series forecasting techniques, behavioral economic theory, and Bayesian statistics to capture the complexity of this important decision while delivering relevant information to service members in a straightforward manner using an R Studio Shiny Application.
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In: American Legion Magazine, Band 149, Heft 2, S. 22-25
In: The annals of the American Academy of Political and Social Science, Band 528, Heft 1, S. 176-177
ISSN: 1552-3349
In: The annals of the American Academy of Political and Social Science, Band 525, S. 175-176
ISSN: 0002-7162
In: The annals of the American Academy of Political and Social Science, Band 528, S. 176-177
ISSN: 0002-7162