On the relation between two generalized cases of Thurstone's law of comparative judgment
G. de Soete (1983)
Mathématiques et Sciences Humaines
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G. de Soete (1983)
Mathématiques et Sciences Humaines
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Herman Wold (1980)
Banach Center Publications
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Antoni Espasa (1984)
Qüestiió
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In this paper the homogeneous information available for the Spanish economy on employment, productivity and wages is processed by means of annual single equation models. The aim in this exercise is to fix ideas about the fundamental characteristics that dominate the relationships between the mentioned data. A set of conclusions is listed at the end of the paper.
H. ToivoNEN, H. MANNILA, M. SALMENKIVI and K.-P. LAAKSO (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Zorica Mladenović (2009)
The Yugoslav Journal of Operations Research
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Ana Debón, Francisco Montes, Ramón Sala (2005)
SORT
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The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric models and compares the result obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude...
Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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Luo, Dongwen, Jones, Geoffrey, Dennis, Judith (2006)
Journal of Applied Mathematics and Decision Sciences
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Arthur B. Treadway (1984)
Qüestiió
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This paper summarizes the results of econometric time-series analysis performed by the author and colleagues over the last seven years, using the Box-Jenkins approach in interaction with Economic Theory. Typical univariate properties, typical data anomalies and typical relationships are described. Common practice in Econometrics is criticized and certain aspects of Economic Theory are discussed.
S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)
International Journal of Applied Mathematics and Computer Science
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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...