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. To obtain a quantitative insight into the effect of the ground and river water-level variations on the high bank tilts, and to develop an early warning system, the data series were subjected to moving window regression (MWR) and multivariable

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Gonzalez, S. (2000): Neural Networks for Macroeconomic Forecasting: A Complementary Approach to Linear Regression Models. Working Paper 2000-07, Department of Finance, Canada. Neural Networks for Macroeconomic

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studies, these board sizes are considered small on average. In the sample, the standard deviation of the management board size is 1.886 and that of the supervisory board size is 1.703. These variabilities can make regression results powerful. The outside

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Acta Microbiologica et Immunologica Hungarica
Authors:
Bernadett Márkus
,
György Temesszentandrási
,
Krisztián Vörös
,
László Jakab
,
Béla Fekete
,
Henriette Farkas
,
Zoltán Prohászka
,
Tamás Masszi
, and
László Kalabay

-A concentration (mg L −1 ). The association between fetuin-A concentration and other parameters of patients Univariate regression analysis between serum fetuin

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Journal of Behavioral Addictions
Authors:
Silvia Ronzitti
,
Emiliano Soldini
,
Vittorio Lutri
,
Neil Smith
,
Massimo Clerici
, and
Henrietta Bowden-Jones

–Wallis test has been used to account for potential non-normality of the continuous variables. Finally, we fitted a linear regression model in order to verify if cluster membership is a significant predictor of gambling addiction severity (i.e., the PGSI score

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Physiology International
Authors:
V. Fazekas-Pongor
,
M. Fekete
,
P. Balazs
,
D. Árva
,
M. Pénzes
,
S. Tarantini
,
R. Urbán
, and
J.T. Varga

SGRQ-C, CAT, and the PCS and MCS scales of SF-36 by including individual variables in our models one at a time. This was followed by multivariate linear regression analyses for different components of the SGRQ-C and SF-36 questionnaires and multiple

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) ranges. Finally, a total of 90 points were considered in the regressions. Correlating methods based on the corresponding states principle The surface tension σ (mN m −1 ), of a fluid can expressed as a function of the

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results of seven regression models taking as dependent variables seven performance indices, using a dataset combining bibliometric data collected with the PoP software with cross-sectional data of 321 Quebec social scientists in Anthropology, Sociology

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). This form of specifying the model is much more adequate than regression by ordinary least squares, since the distribution of the dependent variable follows the formal characteristics of count models (Cameron and Trivedi 2003 )—i.e., a discrete positive

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squares regression . Annals of Tourism Research , 28 ( 2 ), 291 – 311 . Lee , C.C. and Chien , M.S. ( 2008 ). Structure breaks, tourism development, and economic growth: Evidence

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