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Tracz, G. S.; Burtnyk, W. A. – 1972
To fully develop a teacher cost model, it is essential to be able to forecast the number of teachers that leave the experience category distribution -- not only the total number that leave, but also the number that leave from each category and experience level within the distribution. Similarly, it is essential to be able to forecast, to the same…
Descriptors: Algorithms, Costs, Mathematical Models, Prediction
Peer reviewed Peer reviewed
Song, Xueshu – International Journal of Instructional Media, 1992
Describes the development of a computer-aided decision-making system to assist educational practitioners in curriculum decision making about innovative program features and implementation requirements. Topics discussed include the identification of variables; database generation; mathematical modeling; compromising between effectiveness and…
Descriptors: Algorithms, Computer Software Development, Curriculum Development, Databases
Gavanasen, Varut; Hussain, S. Tariq – Environmental Protection, 1993
Reviews the different types of models that can be used in groundwater modeling. Discusses the flow and contaminant transport models in the saturated zone, flow and contaminant transport in variably saturated flow regime, vapor transport, biotransformation models, multiphase models, optimization algorithms, and potentials pitfalls of using these…
Descriptors: Algorithms, Computer Simulation, Elementary Secondary Education, Environmental Education
Burtnyk, W. A. – 1972
This paper describes the method used by Tracz and Burtnyk for the estimation of future salary schedules in the Ontario secondary school system. The application of the algorithm to the Ontario secondary school system predicts a possible breakdown in the fixed step salary schedule at about 1980. This situation results primarily because of the…
Descriptors: Algorithms, Costs, Educational Planning, Mathematical Applications
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory