Applications of Robust Regression Techniques: An Econometric Approach

Khan, Dost Muhammad; Yaqoob, Anum; Zubair, Seema; Azam, Muhammad; Ahmad, Zubair; Alamri, Osama Abdulaziz

doi:10.1155/2021/6525079

Cited by 14 publications

(13 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to more accurately calculate the contribution of human capital to economic growth in a certain region in western country, based on Solow's total production function method, an economic growth model is constructed [26][27][28][29]. In order to establish a model that can further reflect the impact of human capital on economic growth, on the basis of the Cobb-Douglas production function model on the relationship between output and input labor and capital, taking into account the production function of human capital, the level of human capital is introduced to establish a relationship between human capital in a certain region and economic growth.…”

Section: Model Establishmentmentioning

confidence: 99%

Analysis of the Influence of Human Resources on the Economic Development of Minority Areas Based on Data Mining

Guo

Liu

Zheng

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In order to break the bottleneck of the human capital stock restricting local economic growth in the typical western regions with backward national economic development, a research on the analysis of the impact of human resources on the economic development of ethnic regions based on data mining is proposed. On the basis of systematically reviewing the current situation and the theoretical basis of the relationship between human capital and economic growth, the method of combining normative research and empirical research is adopted, and the theories of macroeconomics, development economics, and regional economics are synthesized. In the research, the human capital and economic development in a certain western region are analyzed by establishing an econometric model. The results show that the average value of each year is taken as the inspection index, and the contribution rate is 0.0012, which shows that the contribution of human capital stock in economic growth is very small, indicating that physical capital stock is still the main driving force for local economic development. It is concluded that the research provides some relevant recommendations for human capital development to achieve sustainable local economic development.

show abstract

Section: Model Establishmentmentioning

confidence: 99%

Analysis of the Influence of Human Resources on the Economic Development of Minority Areas Based on Data Mining

Guo

Liu

Zheng

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Coefficients are then estimated by using panel robust least squares. Robust least square is applied to obtain reliable estimates as it overcomes the issue of influential observations and outliers [20]. Robust least square is preferred over ordinary least square as it can be applied with less restricted assumptions.…”

Section: Estimation Methodsmentioning

confidence: 99%

Technological Innovation and Environment Degradation in South Asian Countries

Naz

2022

SSURJET

View full text Add to dashboard Cite

This study is an attempt to analyze the impact of technological innovations on Environmental Degradation (ED) in selected South Asian countries over the period 1996 to 2019. The limited and inconclusive result on the association between technological innovation and the environment particularly in South Asia provides an impetus to explicitly reexamine this relationship. The current study is unique in using various greenhouse gases to measure environmental degradation. Moreover, technology is also bifurcated into all other technological innovations and environment-related technology (eco-innovation). Panel robust least square is used to obtain the results. The outcome shows that technological innovations and GDP is contributing to CO2 emissions. It means that these two variables have an unfavorable influence on the environment. However, eco-innovations appeared to be significant in reducing CO2 emissions and other greenhouse gases. Hence, eco-innovations are desirable to lessen the negative consequences on the environment. Low carbon technologies redefine the production and consumption pattern to offset the environmental damaging trend. Carbon emission rates critically depend on the future direction of technological innovations, hence, this study suggests increasing the degree of eco-innovations to protect the environment.

show abstract

“…The experimental data from the pooled sample was fitted to three (3) regression models (table 1) using nonlinear robust regression with least absolute residuals (LAR) using the cftool in MATLAB 2022b. Robust regression was adopted as it overcomes the effect of outliers and influential observations in the data while minimizing their impact on the regression coefficients (Khan et al, 2021). Curve fitting was adopted for this study as it is the most reported method for developing moisture content based engineering property relationships in the literature.…”

Section: Simple Regression Analysis and Prediction Of Engineering Pro...mentioning

confidence: 99%

Investigating the Physical Properties of Corn Varieties

Chowdhury,

Clementson,

Baidhe

2024

Journal of the ASABE

View full text Add to dashboard Cite

Highlights The effect of moisture on the physical properties of corn varied significantly with variety. There is no comprehensive moisture model for the prediction of physical properties of corn. The models derived from experimental data and models posited in the literature provide varying degrees of predictive accuracy. Abstract. Several corn varieties have been developed to match short maturity seasons and increase yield for specific end use, such as ethanol production and animal feed. However, it is unclear how varietal differences influence the physical properties. Similarly, there is no certainty that these varieties adhere to the moisture engineering properties relationships recorded in the literature. This research investigated the physical properties of 10 corn hybrids at three moisture content levels (13.5%, 15.5%, and 17% w.b.). The influence of moisture content on the different geometric (equivalent diameter, geometric mean diameter, sphericity, aspect ratio, surface area, projected area, flatness ratio) and gravimetric (bulk density, true density, porosity) properties were assessed and compared with the published literature. Further, this study assessed the potential of regression-based moisture engineering properties relationship models for the prediction and description of the physical properties of corn. Predictive and descriptive comparisons indicated that, in some instances, reference models provided better predictions of the geometric and gravimetric properties of a single variety compared to pooled samples. The study models provided better predictions for the pooled samples. However, the study results confirm no one-size-fits-all moisture physical property model exists. Using existing moisture content based regression models for description and predictive purposes should be done with specific variety references. Keywords: Corn hybrids, Moisture based physical property models, Prediction of physical properties.

show abstract

Applications of Robust Regression Techniques: An Econometric Approach

Cited by 14 publications

References 23 publications

Analysis of the Influence of Human Resources on the Economic Development of Minority Areas Based on Data Mining

Analysis of the Influence of Human Resources on the Economic Development of Minority Areas Based on Data Mining

Technological Innovation and Environment Degradation in South Asian Countries

Investigating the Physical Properties of Corn Varieties

Contact Info

Product

Resources

About