منابع مشابه
Predicting Turning Points
This paper presents a new method for predicting turning points. The paper formally defines a turning point; develops a probit model for estimating the probability of a turning point; and then examines both the in-sample and out-of-sample forecasting performance of the model. The model performs better than some other methods for predicting turning points. *While working on this paper, all three ...
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List of Participants: Werner Abelshauser (University of Bielefeld), Alla Bolotova (European University, St. Petersburg), Stefan Brakensiek (University of Bielefeld), Franz-Josef Brüggemeier (University of Freiburg), Jens Ivo Engels (University of Freiburg), Deborah Fitzgerald (Massachusetts Institute of Technology), Bernd-Stefan Grewe (University of Constance), Richard H. Grove (University of S...
متن کاملTurning Points in Computer Education
This history of computers in education covers two continents. By analysing the experiences of two people a set of turning points in history is identified. These turning points are in the experienced history and so indicate the impact of changes on the citizens of two countries.
متن کاملCanard Solutions at Non-generic Turning Points
This paper deals with singular perturbation problems for vector fields on 2-dimensional manifolds. “Canard solutions” are solutions that, starting near an attracting normally hyperbolic branch of the singular curve, cross a “turning point” and follow for a while a normally repelling branch of the singular curve. Following the geometric ideas developed by Dumortier and Roussarie in 1996 for the ...
متن کاملDetection of Turning Points in Business Cycles
Methods for continuously monitoring business cycles are compared. A turn in a leading index can be used to predict a turn in the business cycle. Three likelihood based methods for turning point detection are compared in detail by using the theory of statistical surveillance and by simulations. One of the methods is a parametric likelihood ratio method. Another includes a non-parametric estimati...
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ژورنال
عنوان ژورنال: Baghdad Science Journal
سال: 2018
ISSN: 2411-7986,2078-8665
DOI: 10.21123/bsj.15.3.352-360