Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering
- Keyword
-
- Decision support systems (3)
- Goodness-of-fit tests (2)
- Life cycle costing (2)
- Manpower planning (2)
- Production scheduling (2)
-
- United States. Air Force. Air Matériel Command--Personnel management (2)
- Aeronautical Systems Center (U.S.)--Management (1)
- Air Force Wright Aeronautical Laboratories (1)
- Armstrong Laboratory (U.S.) (1)
- Artillery (1)
- Atmosphere--Mathematical models (1)
- Ballistic missile defenses (1)
- Bombardiers (1)
- Combat--Mathematical models (1)
- Computer networks--Maintenance and repair (1)
- Computer simulation (1)
- Decision making (1)
- Economic conversion--Ohio--Miami Valley (1)
- Embedded computer systems (1)
- Expert systems (Computer science) (1)
- Falcon (Missile)AMRAAM (1)
- Gaussian distribution (1)
- Glass waste--Costs (1)
- Hazardous substances--Environmental aspects (1)
- Industrial priorities (1)
- Job shops--Management (1)
- Just-in-time systems--United States (1)
- Linear programming--Mathematical models (1)
- MX (Weapons system) (1)
- Manufacturing resource planning (1)
Articles 31 - 33 of 33
Full-Text Articles in Engineering
A New Goodness-Of-Fit Test For The Gamma Distribution Based On Sample Spacings From Complete And Censored Samples, Huseyin Duman
A New Goodness-Of-Fit Test For The Gamma Distribution Based On Sample Spacings From Complete And Censored Samples, Huseyin Duman
Theses and Dissertations
This thesis studies a new goodness-of-fit test for the gamma distribution with known shape parameter. This test statistic, Z*, is based on spacings from complete or censored samples. The size of samples varied between 5 and 35. The critical value tables were generated for the Z* test statistic for complete and censored samples. The critical values were obtained for five different significance levels: 0.20 0.15, 0.10, 0.05, and 0.01. An extensive power study, containing 50,000 Monte Carlo runs was conducted using nine alternative distributions, Ha. It was observed that the Z* test statistic was more powerful against certain …
Right-Hand-Side Multidimensional Optimality Analysis Of A Large Scale Linear Program Using Metamodelling Techniques, Osman Iyde
Theses and Dissertations
A methodology for optimality analysis of linear programs was developed by Johnson, Bauer, Moore, and Grant to create metamodels using response surface methodology techniques such as experimental design and least squares regression, and a geostatistical estimation technique, namely kriging. Metamodels have the form of a simple polynomial, and they predict the optimal objective function value of an LP for various levels of the constraints. They eliminate the necessity of determining which critical region contains the right-hand-side (RHS) vector of interest since they are valid over multiple critical regions. The methodology of Johnson, et al. can be applied to large scale …
Selecting Optimal Experiments For Feedforward Multilayer Perceptrons, Lisa M. Belue
Selecting Optimal Experiments For Feedforward Multilayer Perceptrons, Lisa M. Belue
Theses and Dissertations
Where should a researcher conduct experiments to provide training data for a multilayer perceptron? This question is investigated and a statistically-based method for optimally selecting experimental design points for multilayer perceptrons is introduced. Specifically, a criterion is developed based on the size of an estimated confidence ellipsoid for the weights in the multilayer perceptron. This criterion is minimized over a set of exemplars to find optimal design points. Initially, single output networks are examined. An example is used to demonstrate the superiority of optimally selected design points over randomly chosen points and points chosen in a grid pattern. Also, two …