scholarly journals Switching Linear Inverse-Regression Model for Tracking Head Pose

2017 ◽  
Author(s):  
Vincent Drouard ◽  
Sileye Ba ◽  
Radu Horaud
Keyword(s):  
Regression Model ◽  
Inverse Regression ◽  
Head Pose

Analytic Solution of Inverse Regression Equation for Evaluating Concrete Strength of Building Materials: Experimental and Application

2013 ◽  
Vol 357-360 ◽  
pp. 757-760
Author(s):  
Jian Wei Chen ◽  
You Po Su ◽  
Hai Bin Chen
Keyword(s):  
Regression Model ◽  
Regression Models ◽  
Building Materials ◽  
Analytic Solution ◽  
Concrete Strength ◽  
Regression Equation ◽  
Basic Theory ◽  
Inverse Regression ◽  
Analysis Method

The basic theory of the rebound method is introduced, and analytic solution of inverse regression equation for evaluating concrete strength of building materials is presented herein based on the inverse regression model. Furthermore, two engineering examples are given, satisfactory results are obtained using the analysis method. The analysis method can be also used to gain the presumption of strength for others building materials and solutions of other inverse regression models.

Adaptive estimation for an inverse regression model with unknown operator

2012 ◽  
Vol 29 (3) ◽  
pp. 215-242 ◽  
Author(s):  
Clement Marteau ◽  
Jean-Michel Loubes
Keyword(s):  
Regression Model ◽  
Adaptive Estimation ◽  
Inverse Regression

scholarly journals Türkiye’de Organik Bal Üretiminin Yıllara Göre Değişiminin Regresyon Analizi ile İncelenmesi Üzerine Bir Çalışma

2018 ◽  
Vol 6 (11) ◽  
pp. 1507 ◽  
Author(s):  
Şenol Çelik ◽  
Turgay Şengül ◽  
Bünyamin Söğüt ◽  
A. Yusuf Şengül
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Regression Models ◽  
Mean Squared Error ◽  
Parameter Estimates ◽  
Suitable Model ◽  
Inverse Regression ◽  
Linear Quadratic ◽  
Honey Production ◽  
Organic Honey

In this study, changes in organic honey production in Turkey between 2004 and 2016 were examined by regression analysis. In regression analysis, linear, quadratic, cubic, logarithmic and inverse regression models have been studied comparatively. The R2 values obtained with these models are; 0.155, 0.616, 0.699, 0.366, 0.522, R ̅^2 values were found as 0.079, 0.539, 0.599, 0.308, 0.479 and MSE (Mean Squared Error) values were 48743.013, 24376.605, 21228.605, 36580.476, 27563.473, respectively. The quadratic regression model, in which the parameter estimates are significant, R ̅^2 is the highest and MSE is the lowest, is the most appropriate model. According to this regression model, estimated organic honey production yields in 2017 and 2018 are going to be 693 and 891 tons, respectively. In addition, regression analysis of non-organic honey production was done in the same period and linear regression model was determined as the most suitable model. For this model, R2= 0.772 and R ̅^2 = 0.750 were calculated. As a result, it has been concluded that organic and non-organic honey production yields can be estimated with different regression models.

Ease of Doing Business and Its Impact on Inward FDI

2018 ◽  
Vol 1 (1) ◽  
pp. 52 ◽  
Author(s):  
Mohamed Tareq Hossain ◽  
Zubair Hassan ◽  
Sumaiya Shafiq ◽  
Abdul Basit
Keyword(s):  
Regression Model ◽  
Causal Relationship ◽  
World Bank ◽  
Least Square ◽  
Doing Business ◽  
Least Square Regression ◽  
Foreign Countries ◽  
Ease Of Doing Business ◽  
The Impact ◽  
Starting A Business

This study investigates the impact of Ease of Doing Business on Inward FDI over the period from 2011 to 2015 across the globe. This study measures ease of doing business using starting a business, getting credit, registering property, paying taxes and enforcing contracts. The research used a sample of 177 countries from 190 countries listed in World Bank. Least square regression model via E-views software used to examine causal relationship. The study found that ease of doing business indicators ‘Enforcing Contracts’ was found to have a positive significant impact on Inward FDI. Nevertheless, ‘Getting Credit’ and ‘Registering Property’ were found to have a negative significant impact on Inward FDI. However, ‘Starting a Business’ and ‘Paying Taxes’ have no significant impact on Inward FDI in the studied timeframe of this research. The findings of the study suggested the ease of doing business enables inward FDI through better contract enforcements, getting credit and registering property. The findings of the research will assist international managers and companies to know the importance of ease of doing business when investing in foreign countries through FDI.

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