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Eldeiry, A. & Garcia, L. A. , 2010. Comparison of ordinary kriging, regression kriging, and cokriging techniques to estimate soil salinity using LANDSAT images. ASCE Journal of Irrigation and Drainage. 136 . 355

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. Breheny , P. ( 2013 ): ncvreg: Regularization Paths for SCAD-and MCP-Penalized Regression Models . R package version 2.6-0 . Calaway , R. – Weston , S. ( 2014

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harassment in multilingual text. Significant work has been done to determine cyber harassment in an automated way using traditional supervised machine learning methods like Support Vector Machine (SVM), Long Short Term Memory (LSTM), logistic regression

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. – Cripps , A. ( 2001 ): Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks . Journal of Real Estate Research , 22 ( 3 ): 313 – 336

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amongst studies, and investigating publication bias or small-study effects on the results. The multivariate meta-regression produces results on moderator variables, which are found to explain heterogeneity in the empirical results from past studies. This

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, the brunt of chronic PH leading to right ventricle (RV) failure, and the prognostic implications are well known. However, PH is documented to regress after surgery, the extent of which varies in individuals and over varying postoperative intervals [2

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between two columns with the expected average difference (based on the number of groups and their size). It is used after the Kruskall–Wallis or Friedman test. The Dunn's test shows which samples are different. A multiple regression model was

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regression models, involving new variables and extending the research period. Our analysis relied on the fixed effects panel regression models: Individual and Time Fixed-effects with cluster-robust standard errors for the balanced panel, and Fixed

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parameters, the nonlinear regression analysis of experimental data obtained by TMA and thermodilatometry is used. The reason for this study is that the Ce 3+ -doped glass is a promising material for the detection of γ- and X-rays for medical and technical

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setting, but also to reveal external determinants of their performance. To achieve this, analysis is enriched by the second step in which the DEA scores are regressed on a couple of potential determinants of efficiency with the use of Simar and

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