The Jackknife Interval Estimation of Parametersin Partial Least Squares Regression Modelfor Poverty Data Analysis

Interval Estimation ◽

Sparse partial least-squares regression and its applications to high-throughput data analysis

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2011.07.002 ◽

2011 ◽

Vol 109 (1) ◽

pp. 1-8 ◽

Cited By ~ 51

Author(s):

Donghwan Lee ◽

Woojoo Lee ◽

Youngjo Lee ◽

Yudi Pawitan

Keyword(s):

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

High Throughput ◽

High Throughput Data ◽

High Throughput Data Analysis

Data analysis of heavy metal pollution in the sea by using principal component analysis and partial least squares regression

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/0169-7439(89)80120-0 ◽

1989 ◽

Vol 7 (1-2) ◽

pp. 163-170 ◽

Cited By ~ 11

Author(s):

Sulo Piepponen ◽

Reijo Lindström

Keyword(s):

Heavy Metal ◽

Principal Component Analysis ◽

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Principal Component ◽

Sparse partial least-squares regression for high-throughput survival data analysis

Statistics in Medicine ◽

10.1002/sim.5975 ◽

2013 ◽

Vol 32 (30) ◽

pp. 5340-5352 ◽

Cited By ~ 5

Author(s):

Donghwan Lee ◽

Youngjo Lee ◽

Yudi Pawitan ◽

Woojoo Lee

Keyword(s):

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

High Throughput ◽

Survival Data ◽

Hyperspectral Data Analysis Algorithm Based on Partial Least-squares Regression Model and Its Application in the Identification of Hogwash Oil

Journal of Information and Computational Science ◽

10.12733/jics20106180 ◽

2015 ◽

Vol 12 (10) ◽

pp. 4087-4094 ◽

Cited By ~ 1

Author(s):

Dong Zhang

Keyword(s):

Data Analysis ◽

Regression Model ◽

Least Squares ◽

Partial Least Squares ◽

Hyperspectral Data ◽

Analysis Algorithm

Computational Intelligence Methods for Bioinformatics and Biostatistics - Lecture Notes in Computer Science ◽

Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways

10.1007/978-3-642-21946-7_10 ◽

2011 ◽

pp. 123-134 ◽

Cited By ~ 2

Author(s):

Niccoló Bassani ◽

Federico Ambrogi ◽

Danila Coradini ◽

Elia Biganzoli

Keyword(s):

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Microarray Data ◽

Biological Pathways ◽

Microarray Data Analysis ◽

An approach to interval estimation in partial least squares regression

Analytica Chimica Acta ◽

10.1016/0003-2670(93)80461-s ◽

1993 ◽

Vol 277 (2) ◽

pp. 495-501 ◽

Cited By ~ 56

Author(s):

A. Phatak ◽

P.M. Reilly ◽

A. Penlidis

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Interval Estimation ◽

Data analysis of roadway attributes through Partial Least Squares regression

2010 2nd IEEE International Conference on Information and Financial Engineering ◽

10.1109/icife.2010.5609399 ◽

2010 ◽

Author(s):

Weiguo Li ◽

Hanjie Zhang ◽

Xiaoping Du ◽

Kun Qian ◽

Cuiying Li

Keyword(s):

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

ROSA-a fast extension of partial least squares regression for multiblock data analysis

Journal of Chemometrics ◽

10.1002/cem.2824 ◽

2016 ◽

Vol 30 (11) ◽

pp. 651-662 ◽

Cited By ~ 2

Author(s):

Kristian Hovde Liland ◽

Tormod Naes ◽

Ulf G. Indahl

Keyword(s):

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Multivariate statistical methodologies applied in biomedical Raman spectroscopy: assessing the validity of partial least squares regression using simulated model datasets

The Analyst ◽

10.1039/c4an02167c ◽

2015 ◽

Vol 140 (7) ◽

pp. 2482-2492 ◽

Cited By ~ 23

Author(s):

Mark E. Keating ◽

Haq Nawaz ◽

Franck Bonnier ◽

Hugh J. Byrne

Keyword(s):

Raman Spectroscopy ◽

Data Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Biomedical Applications ◽

Multivariate Statistical ◽

Simulated Model ◽

Analysis Tools

In the drive towards biomedical applications of Raman spectroscopy, it is critically important to validate the data analysis tools.

Particles Counting in Intracellular Images by Partial Least Squares Regression and HLAC Feature between Multiple Features

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.135.236 ◽

2015 ◽

Vol 135 (2) ◽

pp. 236-243

Author(s):

Shohei Kumagai ◽

Kazuhiro Hotta

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Multiple Features