"Principal Component Analysis: Application to Statistical Process Control"

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Book	Author(s)	Year	Publisher
Principal Component Analysis	I. T. Jolliffe	2nd ed. 2002	Springer New York
Principal Component Analysis	I. T. Jolliffe	1986	Springer New York
Generalized Principal Component Analysis	René Vidal; Yi Ma; Shankar Sastry	1st ed. 2016	Springer New York
Principal Component Analysis - Engineering Applications	P. Sanguansat	2012	Intech
Principal component analysis - multidisciplinary applications	Parinya Sanguansat	2012	InTech
Introduction to Statistical Process Control	Muhammad Aslam	2020	John Wiley & Sons
Introduction to Statistical Process Control	Peihua Qiu	2013	Routledge
Statistical Process Control	John Oakland; Robert James Oakland	2018	Routledge
Statistical Process Control	John S Oakland	2003	Butterworth-Heinemann
Statistical process control	Leonard A. Doty	1991	Industrial Press
Statistical process control /	Doty, Leonard A.	1996.	Industrial Press,
Statistical process analysis /	Alwan, Layth C.	2000.	Irwin/McGraw-Hill,
Principal Component Analysis Networks and Algorithms	Xiangyu Kong; Changhua Hu; Zhansheng Duan	1st ed. 2017	Springer Nature Singapore
Principal Component Analysis [data, math. anal. ]	P. Sanguansat	2012	Intech
Statistical process control demystified	Paul A. Keller	2011	McGraw-Hill
Statistical process control manual	n/a	1986	The Division
Understanding statistical process control	Donald J. Wheeler	2010	SPC Press
Understanding statistical process control	Donald J. Wheeler	1990	Addison-Wesley
Nonlinear Principal Component Analysis and Its Applications	Yuichi Mori; Masahiro Kuroda; Naomichi Makino	1st ed. 2017	Springer Nature Singapore
Constrained Principal Component Analysis and Related Techniques	Yoshio Takane	2013	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Principal Component Analysis: Application to Statistical Process Control	Gilbert Saporta; Ndèye Niang	Data Analysis	Gérard Govaert	2009	John Wiley & Sons
Application: Principal component analysis		Matrix Theory and Linear Algebra	Peter Selinger	2020
Principal Component Analysis	Leo H. Chiang; Evan L. Russell; Richard D. Braatz	Fault Detection and Diagnosis in Industrial Systems	L.H. Chiang; E.L. Russell; R.D. Braatz	2001	Springer London
Principal Component Analysis	Jianzhong Wang	Geometric Structure of High-Dimensional Data and Dimensionality Reduction	Jianzhong Wang	2012	Springer Berlin Heidelberg
Principal Component Analysis		Encyclopedia of Biophysics	Gordon Roberts	2013	Springer Berlin Heidelberg
Principal Component Analysis	Ron Wehrens	Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences	Ron Wehrens	2011	Springer Berlin Heidelberg
Principal Component Analysis		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Principal Component Analysis	Paolo Giordani	Encyclopedia of Social Network Analysis and Mining	Reda Alhajj; Jon Rokne	2014	Springer New York
Principal Component Analysis	Evan L. Russell; Leo H. Chiang; Richard D. Braatz	Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes	Evan L. Russell; Leo H. Chiang; Richard D. Braatz	2000	Springer London
Principal Component Analysis	Hans Wackernagel	Multivariate Geostatistics: An Introduction with Applications	Hans Wackernagel	1995	Springer Berlin Heidelberg
Principal Component Analysis	Ron Johnston	Encyclopedia of Quality of Life and Well-Being Research	Alex C. Michalos	2014	Springer Netherlands
Principal Component Analysis	Ian Jolliffe	International Encyclopedia of Statistical Science	Miodrag Lovric	2011	Springer Berlin Heidelberg
Principal Component Analysis	Hans-Peter Deutsch	Derivatives and Internal Models	H. Deutsch	4th ed. 2009	Palgrave Macmillan UK
Principal Component Analysis	Yasha Hasija; Rajkumar Chakraborty	Hands-On Data Science for Biologists Using Python	Yasha Hasija; Rajkumar Chakraborty	2021	Routledge
Principal Component Analysis	Andreas Pöge; Jost Reinecke	Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods	Uwe Engel; Anabel Quan-Haase; Sunny Liu; Lars Lyberg	2021	Routledge
Principal Component Analysis	Caterina Labrín; Francisco Urdinez	R for Political Data Science: A Practical Guide	Francisco Urdinez; Andres Cruz	2020	Routledge
Principal Component Analysis	Sadanori Konishi	Introduction to Multivariate Analysis: Linear and Nonlinear Modeling	Sadanori Konishi	2014	Routledge
Principal Component Analysis	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Principal Component Analysis		Encyclopedia of Biopharmaceutical Statistics	Shein-Chung Chow	2018	Routledge
Principal Component Analysis	Alessio Farcomeni; Luca Greco	Robust Methods for Data Reduction	Alessio Farcomeni; Luca Greco	2015	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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