The stock market has a high profit and high risk features, on the stock market analysis and prediction research has been paid attention to by people. Stock price trend is a complex nonlinear function, so the price has certain predictability. This article mainly with improved BP neural network (BPNN) to set up the stock market prediction model, and…

We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a "falsification test"). We discuss theoretical…

Develops the theory for a stochastic model for the citation process in the presence of obsolescence to predict the future citation pattern of individual papers in a collection. Shows that the expected number of future citations is a linear function of the current number, interpreted as an example of a success-breeds-success phenomenon. (Author/LRW)

The viability of Freeman's model, which uses three equations to analyze causative demand and supply determinants, is examined as a management tool for explaining and predicting enrollments and the job market using macro and micro cases. (MSE)

Looking back on enrollment trends in higher education in Britain since 1800, this study examines the trend toward expansion and the philosophy behind such expansion. A statistical model is developed for enrollment trends, and recent literature on enrollment is examined in light of the model presented. (MSE)

Describes the development of a gravity model based upon principles of spatial interaction to predict the circulation of libraries in the Indianapolis-Marion County Public Library (Indiana). The model effectively predicted past circulation figures and was tested by predicting future library circulation, particularly for a new branch library.…