Analyses of Power Consumption of the Heat Pump Dryer in the Automobile Drying Process by using the Principal Component Analysis and Multiple Regression

Journal of Society of Korea Industrial and Systems Engineering ◽

10.11627/jkise.2014.38.1.143 ◽

2015 ◽

Vol 38 (1) ◽

pp. 143-151 ◽

Author(s):

Chang-Yong Lee ◽

◽

Gensoo Song ◽

Jinho Kim

Keyword(s):

Principal Component Analysis ◽

Power Consumption ◽

Multiple Regression ◽

Heat Pump ◽

Principal Component ◽

Component Analysis ◽

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Drying process of microcrystalline cellulose studied by attenuated total reflection IR spectroscopy with two-dimensional correlation spectroscopy and principal component analysis

Journal of Molecular Structure ◽

10.1016/j.molstruc.2006.03.018 ◽

2006 ◽

Vol 799 (1-3) ◽

pp. 102-110 ◽

Author(s):

Akihiko Watanabe ◽

Shigeaki Morita ◽

Serge Kokot ◽

Mika Matsubara ◽

Katsuhiko Fukai ◽

...

Keyword(s):

Principal Component Analysis ◽

Ir Spectroscopy ◽

Microcrystalline Cellulose ◽

Principal Component ◽

Component Analysis ◽

Total Reflection ◽

Attenuated Total Reflection ◽

Correlation Spectroscopy ◽

Two Dimensional ◽

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Determination of factors controlling the fatty acid composition of settling particles in the water column by principal-component analysis and their quantitative assessment by multiple regression

Organic Geochemistry ◽

10.1016/0146-6380(92)90149-r ◽

1992 ◽

Vol 18 (1) ◽

pp. 121-129 ◽

Author(s):

T. Reemtsma ◽

V. Ittekkot

Keyword(s):

Principal Component Analysis ◽

Fatty Acid Composition ◽

Water Column ◽

Multiple Regression ◽

Acid Composition ◽

Quantitative Assessment ◽

Principal Component ◽

Component Analysis

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Application of principal component analysis to the study of quantitative structure-activity relationships by means of multiple regression analysis.

Chemical and Pharmaceutical Bulletin ◽

10.1248/cpb.33.1488 ◽

1985 ◽

Vol 33 (4) ◽

pp. 1488-1495 ◽

Author(s):

TANEKAZU KUBOTA ◽

JIRO HANAMURA ◽

KENJI KANO ◽

BUNJI UNO

Keyword(s):

Principal Component Analysis ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Quantitative Structure ◽

Structure Activity Relationships ◽

Structure Activity ◽

Quantitative Structure Activity Relationships

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A Weighted Multiple Regression Model to Predict Rainfall Patterns: Principal Component Analysis approach

Mediterranean Journal of Social Sciences ◽

10.5901/mjss.2014.v5n7p34 ◽

2014 ◽

Author(s):

Retius Chifurira ◽

Delson Chikobvu

Keyword(s):

Principal Component Analysis ◽

Regression Model ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Multiple Regression Model ◽

Analysis Approach ◽

Rainfall Patterns

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Combining multiple regression and principal component analysis for accurate predictions for column ozone in Peninsular Malaysia

Atmospheric Environment ◽

10.1016/j.atmosenv.2013.01.019 ◽

2013 ◽

Vol 71 ◽

pp. 36-43 ◽

Author(s):

Jasim M. Rajab ◽

M.Z. MatJafri ◽

H.S. Lim

Keyword(s):

Principal Component Analysis ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Peninsular Malaysia ◽

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Multiple Regression and Principal Component Analysis of Antibacterial Activities of Sulfones and Sulfonamides in Whole Cell and Cell-Free Systems of Various DDS Sensitive and Resistant Bacterial Strains

Quantitative Structure-Activity Relationships ◽

10.1002/qsar.19850040302 ◽

1985 ◽

Vol 4 (3) ◽

pp. 99-109 ◽

Author(s):

E. A. Coats ◽

H.-P. Cordes ◽

V. M. Kulkarni ◽

M. Richter ◽

K.-J. Schaper ◽

...

Keyword(s):

Principal Component Analysis ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Antibacterial Activities ◽

Bacterial Strains ◽

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FORECASTING RETURNS FOR THE STOCK EXCHANGE OF THAILAND INDEX USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS

Journal of Mathematics and Statistics ◽

10.3844/jmssp.2013.29.37 ◽

2013 ◽

Vol 9 (1) ◽

pp. 29-37

Author(s):

Sopipan

Keyword(s):

Principal Component Analysis ◽

Multiple Regression ◽

Stock Exchange ◽

Principal Component ◽

Component Analysis ◽

Stock Exchange Of Thailand ◽

Forecasting Returns

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FORECASTING THE FINANCIAL RETURNS FOR USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS

Journal of Mathematics and Statistics ◽

10.3844/jmssp.2013.65.71 ◽

2013 ◽

Vol 9 (1) ◽

pp. 65-71 ◽

Author(s):

Sopipan

Keyword(s):

Principal Component Analysis ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Financial Returns

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Prediction of column ozone concentrations using multiple regression analysis and principal component analysis techniques: A case study in peninsular Malaysia

Atmospheric Pollution Research ◽

10.1016/j.apr.2016.01.002 ◽

2016 ◽

Vol 7 (3) ◽

pp. 533-546 ◽

Author(s):

Kok Chooi Tan ◽

Hwee San Lim ◽

Mohd Zubir Mat Jafri

Keyword(s):

Principal Component Analysis ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Principal Component ◽

Component Analysis ◽

Peninsular Malaysia ◽

Analysis Techniques ◽

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Barriers against and actions towards renewable energy technologies diffusion: A Principal Component Analysis for residential ground source heat pump (GSHP) systems

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.04.060 ◽

2017 ◽

Vol 78 ◽

pp. 252-271 ◽

Author(s):

Spyridon Karytsas ◽

Ioannis Choropanitis

Keyword(s):

Principal Component Analysis ◽

Renewable Energy ◽

Heat Pump ◽

Principal Component ◽

Component Analysis ◽

Ground Source Heat Pump ◽

Renewable Energy Technologies ◽

Energy Technologies ◽

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