Results 251 to 260 of about 4,433,966 (292)

The relative importance of import decision variables

Journal of the Academy of Marketing Science, 1983
This is an empirically examined study which explores the purchasing behavior of U.S. import managers by identifying and measuring the use of import decision variables. The study finding supports for the hypothesized relationships between the import decision variables managers use and the countries from which they import.
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A Guide to Important Variables in PBL

Journal of Dental Education, 2008
Dear Dr. Alvares: My colleagues and I wish to bring to the attention of your readers “A Whole System Approach to Problem-Based Learning in Dental, Medical, and Veterinary Sciences: A Guide to Important Variables,” available at [www.manchester.ac.uk/ceebl/resources/resourcepacks/
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Variable importance in latent variable regression models

Journal of Chemometrics, 2014
The quality and practical usefulness of a regression model are a function of both interpretability and prediction performance. This work presents some new graphical tools for improved interpretation of latent variable regression models that can also assist in improved algorithms for variable selection.
Kvalheim, O.M., Arneberg, R., Bleie, O., Rajalahti, T., Smilde, A.K., Westerhuis, J.A.   +5 more
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TIME—AN IMPORTANT VARIABLE IN NORMAL DELIVERY

BJOG: An International Journal of Obstetrics & Gynaecology, 1973
SummaryA controlled study showed that speeding birth increased umbilical artery and vein blood pH, most probably by reducing fetal asphyxia. The methods used to speed delivery were simple and were readily applied to a predominantly migrant population. The umbilical artery blood p H in the fast group was significantly higher than in six of seven studies
C, Wood, K H, Ng, D, Hounslow, H, Benning   +3 more
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Effects of the EEC's Variable Import Levies

Journal of Political Economy, 1980
The mechanics of variable import levies, as used by the EEC for agricultural products, are analyzed. Attention is paid to their destabilizing effects on world markets and to the way in which they can capture not only economic rent associated with trade restrictions but also the subsidy payments of exporting countries.
Sampson, Gary P, Snape, Richard H
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Variables importance in questionnaire data on advertising

Expert Systems with Applications, 2011
Abstract In this article, we deal with the problem of measuring the importance of features, that determine the purchase of the product after being exposed to an advertisement. We use an algorithm called Monte Carlo feature selection, which is based on multiple usage of decision trees, to achieve a ranking of variables from the questionnaire data. Our
Aniceta Cymbala, Marcin Owczarczuk
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The importance of blood pressure variability in hypertension

Blood Pressure Monitoring, 2000
Use of ambulatory blood pressure monitoring (ABPM) techniques has revealed that blood pressure is characterized by a considerable degree of variability over a 24 h period as a result, not only of the well-known fluctuations that occur between wakefulness and sleep, but also of the minute-to-minute changes induced by a variety of behavioural conditions.
MANCIA, GIUSEPPE, Omboni, S, PARATI, GIANFRANCO   +2 more
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Perimetric variability: Importance of criterion level

Documenta Ophthalmologica, 1988
Perimetry suffers from considerable variability of results. A new technique for estimating individual criterion levels in normal subjects exposes the important role of psychological variables. The analysis depends on features peculiar to acuity perimetry. It can be accommodated in the regular examination.
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The Importance of Socioeconomic Variables

1996
So far in the book, we have mainly estimated elasticities based on aggregate time-series data. In Chapter 9 we also applied household data, but the micro model used there only allowed a limited amount of taste variation across households. That model, for example, neglected any interaction between economic and socioeconomic variables, and assumed ...
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Variable importance assessment in sliced inverse regression for variable selection

Communications in Statistics - Simulation and Computation, 2017
The focus is on treating the relationship between a dependent variable $y$ and a $p$-dimensional covariate $x$ in a semiparametric regression model. Since the purpose of most social, biological or environmental science research is the explanation, the determination of the importance of the variables is a major concern.
Jlassi, Ines, Saracco, Jérôme
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