| Engineering economics of life cycle cost analysis JV Farr, IJ Faber CRC Press, 2023 | 40 | 2023 |
| Simulation-based costing for early phase life cycle cost analysis: Example application to an environmental remediation project JV Farr, IJ Faber, A Ganguly, WA Martin, SL Larson The Engineering Economist 61 (3), 207-222, 2016 | 28 | 2016 |
| Micro-energy markets: The role of a consumer preference pricing strategy on microgrid energy investment I Faber, W Lane, W Pak, M Prakel, C Rocha, JV Farr Energy 74, 567-575, 2014 | 27 | 2014 |
| Improving the performance of AI models in tactical environments using a hybrid cloud architecture EM Sturzinger, CJ Lowrance, IJ Faber, JJ Choi, AD MacCalman Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 6 | 2021 |
| The Informational Content of Options Prices I Faber University of Washington, 2011 | 5 | 2011 |
| Cyber Risk Management AI-Generated Warnings of Threats IJ Faber Stanford University, 2019 | 3 | 2019 |
| Cashing in on the holidays searching for the holiday effect among some of Americas top retail companies I Faber, W Matthews Available at SSRN 2599861, 2015 | 3 | 2015 |
| An improved composite forecast for realized volatility IJ Faber, K Eargle Journal of Statistical and Econometric Methods 3 (1), 75-84, 2014 | 3 | 2014 |
| Growing an artificial intelligence capability: challenges and opportunities JK Alt, K Klingensmith, I Faber Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020 | 2 | 2020 |
| A dynamic framework to estimate the cost of security for US Army installations DM Beskow, IJ Faber IIE Annual Conference. Proceedings, 3122, 2014 | 2 | 2014 |
| Comparison of historical and forward looking market data in constructing efficient portfolios M McDonnell, I Faber, N Normandin, R Cleary IIE Annual Conference. Proceedings, 1, 2012 | 2 | 2012 |
| Evaluating the military retirement system: An adaptive choice-based conjoint analysis approach I Faber Available at SSRN 2599862, 2015 | 1 | 2015 |
| War Profiteering Comparing Military-Industry Stock Portfolio Returns versus Market Returns during the Iraq and Afghan Wars I Faber, M Flanagan Available at SSRN 2599846, 2015 | | 2015 |
| Leveraging Microfinance: A Tool to Aid Ground Commanders in Distributing Economic Development Funds I Faber, M Gordon, N George, C Fisk, L Parker, B Schoenlein Available at SSRN 2599872, 2015 | | 2015 |
| An Exploration of Using the Empirical Implied Distribution to Predict the Distribution of Future Returns I Faber, N George Available at SSRN 2599858, 2015 | | 2015 |
| A QUAINT Tool: Quantitative Uniform Analysis of Instructor Talent I Faber, R Harrison Available at SSRN 2599863, 2015 | | 2015 |
| IIE Engineering Economy Division 2014 Town Hall Meeting Minutes G Nicholls, I Faber, M Jin, CH Tan, J Farr, J Hartman, T Boucher, J Wilck, ... The Engineering Economist 59, 313-316, 2014 | | 2014 |
| Determining The Saturation Level of Energy Savings Performance Contracts in the US Army IJ Faber, J Sambor, A Bagley IIE Annual Conference. Proceedings, 3069, 2014 | | 2014 |
| Comparing Historical and Implied Volatility Estimates in Efficient Portfolios IJ Faber Journal of Finance and Investment Analysis 2 (4), 57-82, 2013 | | 2013 |
| An Exploration of A Market Derived Risk Measure: Implied Distributions and Their Usefulness in Constructing Efficient Portfolios N Normandin, I Faber, M McDonnell, R Cleary IIE Annual Conference. Proceedings, 1, 2012 | | 2012 |
John V. FarrProfessor Emeritus, US Military Academy at West PointVerified email at clarkson.edu
