Quantitative evaluation of glucose spectra from NIR spectroscopy measurements using PLS regression analysis

2019 ◽  
Author(s):  
Selvy Uftovia Hepriyadi ◽  
Iwan Cony Setiadi ◽  
Aulia M.T. Nasution
Keyword(s):  
Regression Analysis ◽  
Quantitative Evaluation ◽  
Nir Spectroscopy ◽  
Pls Regression ◽  
Pls Regression Analysis

scholarly journals Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189677 ◽  
Author(s):  
Alamgir Kabir ◽  
Md. Jahanur Rahman ◽  
Abu Ahmed Shamim ◽  
Rolf D. W. Klemm ◽  
Alain B. Labrique ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Pls Regression ◽  
Rural Bangladesh ◽  
Factors Associated ◽  
Newborn Size ◽  
Pls Regression Analysis

scholarly journals PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PERTUMBUHAN EKONOMI DI PROVINSI BENGKULU

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Azuwandri Azuwandri ◽  
Retno Agustina Ekaputri ◽  
Sunoto Sunoto
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Negative Correlation ◽  
Analytical Method ◽  
Fixed Effects ◽  
Secondary Data ◽  
Pls Regression ◽  
Infrastructure Development ◽  
Analysis Model ◽  
Pls Regression Analysis

The purpose of this study was to Analyze Effects of Long Road Infrastructure Development, Energy Electricity, Telephone and Water to Economic Growth. The analytical method used to achieve this goal is by using PLS regression analysis model Fixed Effects. Type of key data used secondary data is district / municipality located in the province of Bengkulu years 2009‐2013. The result using 7.0 eviews Program found that the factors positively and significantly affect economic growth during the years 2009‐2013 Bengkulu province is the observation variable length Roads, Energy and Water, although variable Phone has a negative correlation, but a significant impact on economic growth.

Sign in / Sign up

Export Citation Format

Share Document