Search Results - subject:"Multiple Linear regression"

Natural gas consumption forecast with MARS and CMARS models for residential users

Özmen, Ayşe; Yılmaz, Yavuz; Weber, Gerhard-Wilhelm - In: Energy economics 70 (2018), pp. 357-381

Persistent link: https://www.econbiz.de/10011942795

The impact of fiscal policy on the economic growth of Jordan

Al-Masaeed, Abdullah Ali; Tsaregorodtsev, Evgeny - In: International journal of economics and finance 10 (2018) 10, pp. 145-161

Persistent link: https://www.econbiz.de/10011944947

"Take photos to make money" APP's task pricing

Huang, Yong-Qi; Du, Ying-Yu; Yao, Can-Xu; Zhang, Yuan-Biao - In: International journal of economics and finance 10 (2018) 12, pp. 127-134

Persistent link: https://www.econbiz.de/10011961544

Determination of Factors Influencing the Level and Dynamics of Net Profits S.C. Mairon S.A. Galati

TANASA, Florentin Emil - In: Risk in Contemporary Economy (2012), pp. 363-370

The study aims to determine factors of influence acting on the company's net profit by using quantitative methods of data analysis that will lead to results of research to highlight the impact on current practice and future development directions. Research identifies first links between the...

Persistent link: https://www.econbiz.de/10010886806

Profitability Analysis of Banks An Application on the Turkish Banking Industry

Cerci, Gözde; Kandir, Serkan Yilmaz; Onal, Yildirim Beyazit - In: Istanbul Stock Exchange Review 13 (2012) 50, pp. 29-44

, between January 2003 and May 2010. A multiple linear regression model is used for the econometric analysis. Independent …

Persistent link: https://www.econbiz.de/10010905874

Evidentierea legaturilor dintre indicatorii macroeconomici prin utilizarea modelului regresiei liniare multiple

ANGHELACHE, Constantin; SAVA, Catalina Claudia; … - In: Romanian Statistical Review Supplement 60 (2012) 3, pp. 268-274

Starting from a set of data series including a number of four macroeconomic indicators and a linear multifactorial model, the validity of the regression model is ascertained, and also the nature and intensity of lonks existing between analyzed indicators. The results achieved with the help of...

Persistent link: https://www.econbiz.de/10010598353

Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals

Al Hajjar, Yasser; Al Hajjar, Abd El Salam Ahmad; Daya, … - In: International Journal of Biomedical and Clinical … 6 (2017) 1, pp. 57-66

such as multiple linear regression, linear discriminant analysis, artificial neural network and decision tree. They used 14 …

Persistent link: https://www.econbiz.de/10012043230

QSPR Modeling is Able to Predict Retention Times of Fatty Acids Using Simple Molecular Descriptors

Duarte, Mariene H.; Freitas, Matheus P.; Nunes, Cleiton - In: International Journal of Quantitative … 2 (2017) 1, pp. 35-43

, total double bonds, position of double bonds and geometric isomerism were used as descriptors to generate a Multiple Linear … Regression (MLR) model. The best model yielded an RMSE = 0.167 and R2 = 0.999 for the calibration set, and RMSE = 0.151 and R2 …

Persistent link: https://www.econbiz.de/10012047198

Innovation and environmental sustainability : analysis in Brazilian metal-mechanic industry

Severo, Eliana Andréa; Dorion, Eric Charles Henri; … - In: International journal of innovation and sustainable … 11 (2017) 2/3, pp. 230-248

Persistent link: https://www.econbiz.de/10011867039

Estimating surplus food supply for food rescue and delivery operations

Nair, Divya J.; Rashidi, Taha Hossein; Dixit, Vinayak V. - In: Socio-economic planning sciences : the international … 57 (2017), pp. 73-83

Persistent link: https://www.econbiz.de/10011689837