Goal Problems in Regional Policy
In: Growth and change: a journal of urban and regional policy, Band 2, Heft 1, S. 9-13
ISSN: 1468-2257
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In: Growth and change: a journal of urban and regional policy, Band 2, Heft 1, S. 9-13
ISSN: 1468-2257
In: Zeitschrift der Savigny-Stiftung für Rechtsgeschichte. Romanistische Abteilung, Band 87, Heft 1, S. 395-425
ISSN: 2304-4934
In: Annals of Public and Cooperative Economics, Band 41, Heft 2-3, S. 143-144
ISSN: 1467-8292
In: Annals of Public and Cooperative Economics, Band 41, Heft 2-3, S. 137-139
ISSN: 1467-8292
In: Annals of Public and Cooperative Economics, Band 41, Heft 2-3, S. 147-151
ISSN: 1467-8292
In: Annals of Public and Cooperative Economics, Band 41, Heft 2-3, S. 146-147
ISSN: 1467-8292
In: Sudanow, Band 12, Heft 5, S. 14-16
Review of the industrial sector (public and private) in Sudan. The public sector is composed of 30 factories which are exclusively owned by the government. Light is also shed on the ills of the industrial public sector as well as on the role of the private sector. (DÜI-Asd)
World Affairs Online
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In: Annals of Public and Cooperative Economics, Band 41, Heft 1, S. 5-29
ISSN: 1467-8292
In: Human factors: the journal of the Human Factors Society, Band 11, Heft 6, S. 561-568
ISSN: 1547-8181
This paper describes a technique for conducting multiparameter experiments in a manner such that the number of data points investigated is reduced to a minimum. The method is based upon the observation that human responses to psychophysiological inputs are lawful rather than random, and hence can be predicted from mathematical equations. The procedure is to: (a) collect data on human responses at a few points in the experimental matrix, (b) fit this data with a low-order polynominal, using a computer program to evaluate the coefficients of the equation as a function of the collected data points, and (c) then, using the developed equation, the computer predicts the values that would be observed at other data points. If these computed values are close enough to the observed values at these points, it is assumed that the equation is correct. If the values are not close enough, the new data is entered into the computer and a higher order equation is fitted by a method of least squares. The procedure is iterative, and is continued until the residual error between computed and observed values for all points falls below some desired value. The importance of the technique is that in multiparameter experiments such a technique can reduce the necessary number of observations by several orders of magnitude compared to what would be necessary by conventional techniques.
In: The family coordinator, Band 18, Heft 4, S. 322
In: http://mdz-nbn-resolving.de/urn:nbn:de:bvb:12-bsb00067413-1
von Hans-Hermann Höhmann ; Volltext // Exemplar mit der Signatur: München, Bayerische Staatsbibliothek -- 4 Z 68.247-1969,11/20
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In: Journal of institutional and theoretical economics, Band 125, S. 637-660