Modeling of daily PM2.5 concentration based on the principal components regression in South and Central Jakarta

Journal of Physics Conference Series ◽

10.1088/1742-6596/1434/1/012012 ◽

2020 ◽

Vol 1434 ◽

pp. 012012

Author(s):

S Alfiandy ◽

R H Virgianto ◽

A S Putri

Keyword(s):

Principal Components ◽

Principal Components Regression ◽

Pm2.5 Concentration

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Deletion Criteria for Principal Components Regression Analysis

American Journal of Agricultural Economics ◽

10.2307/1239950 ◽

1978 ◽

Vol 60 (3) ◽

pp. 524-527 ◽

Author(s):

Thomas B. Fomby ◽

R. Carter Hill

Keyword(s):

Regression Analysis ◽

Principal Components ◽

Principal Components Regression

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The relation between breeding management and 305-day milk production, determined via principal components regression and partial least squares

Livestock Production Science ◽

10.1016/s0301-6226(00)00156-1 ◽

2000 ◽

Vol 66 (1) ◽

pp. 71-83 ◽

Author(s):

C.W. Rougoor ◽

R. Sundaram ◽

J.A.M. van Arendonk

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Milk Production ◽

Principal Components ◽

Principal Components Regression ◽

Breeding Management

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Calculating biotite formula from electron microprobe analysis data using a machine learning method based on principal components regression

Lithos ◽

10.1016/j.lithos.2020.105371 ◽

2020 ◽

Vol 356-357 ◽

pp. 105371 ◽

Author(s):

Xiaoyan Li ◽

Chao Zhang ◽

Harald Behrens ◽

Francois Holtz

Keyword(s):

Machine Learning ◽

Principal Components ◽

Electron Microprobe ◽

Microprobe Analysis ◽

Electron Microprobe Analysis ◽

Analysis Data ◽

Machine Learning Method ◽

Learning Method ◽

Principal Components Regression

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Corrigendum: Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression

Journal of the Royal Statistical Society Series B (Methodological) ◽

10.1111/j.2517-6161.1992.tb01463.x ◽

1992 ◽

Vol 54 (3) ◽

pp. 906-907

Author(s):

M. Stone ◽

R. J. Brooks

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Ordinary Least Squares ◽

Principal Components Regression ◽

Continuum Regression

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Principal Components Regression Analysis

Wiley StatsRef: Statistics Reference Online ◽

10.1002/9781118445112.stat02495 ◽

2014 ◽

Author(s):

Keren L. Coxe

Keyword(s):

Regression Analysis ◽

Principal Components ◽

Principal Components Regression

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Robust Principal Components Regression

Compstat ◽

10.1007/978-3-642-57489-4_79 ◽

2002 ◽

pp. 515-520

Author(s):

Sabine Verboven ◽

Mia Hubert

Keyword(s):

Principal Components ◽

Principal Components Regression

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Near-Infrared Spectroscopy and Principal Components Regression for the Quality Analysis of Glass/Epoxy Prepreg

Polymers and Polymer Composites ◽

10.1177/096739111101900103 ◽

2011 ◽

Vol 19 (1) ◽

pp. 15-20

Author(s):

Wei Li ◽

Wei Jia Gao ◽

Ping Chen ◽

Bao Lei Sun

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Principal Components ◽

Near Infrared ◽

Quality Analysis ◽

Principal Components Regression

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Two Stochastic Restricted Principal Components Regression Estimator in Linear Regression

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2011.639004 ◽

2013 ◽

Vol 42 (20) ◽

pp. 3793-3804 ◽

Author(s):

Jibo Wu ◽

Hu Yang

Keyword(s):

Linear Regression ◽

Principal Components ◽

Regression Estimator ◽

Principal Components Regression

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Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(02)00138-7 ◽

2003 ◽

Vol 65 (2) ◽

pp. 257-279 ◽

Author(s):

Peter D. Wentzell ◽

Lorenzo Vega Montoto

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Partial Least Squares Regression ◽

Complex Mixtures ◽

Least Squares Regression ◽

Principal Components Regression

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Maximum Likelihood Principal Components Regression on Wavelet-Compressed Data

Applied Spectroscopy ◽

10.1366/0003702041389382 ◽

2004 ◽

Vol 58 (7) ◽

pp. 855-862 ◽

Author(s):

Marc N. Leger ◽

Peter D. Wentzell

Keyword(s):

Maximum Likelihood ◽

Principal Components ◽

Principal Components Regression ◽

Compressed Data

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