"Robust regression and outlier detection /" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Robust Regression and Outlier Detection	Peter J. Rousseeuw	1987	John Wiley & Sons
Robust regression and outlier detection /	Rousseeuw, Peter J.; Leroy, Annick.	2003.	Wiley,
Outlier Detection for Temporal Data	Manish Gupta; Jing Gao; Charu Aggarwal; Jiawei Han		Springer International Publishing
Outlier detection for temporal data	Aggarwal, Charu C.; Gao, Jing; Gupta, Manish; Han, Jiawei	2014	Morgan & Claypool Publishers
Robust Regression: Analysis and Applications	Kenneth D. Lawrence	1990	Routledge
Robust Diagnostic Regression Analysis	Anthony Atkinson; Marco Riani	2000	Springer New York
Modern Methods for Robust Regression	Robert Andersen	September 2007	SAGE Publications, Inc
Outlier Detection: Techniques and Applications: A Data Mining Perspective	N. N. R. Ranga Suri; Narasimha Murty M; G. Athithan	1st ed. 2019	Springer International Publishing
New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
Heteroskedasticity in Regression: Detection and Correction	Robert L. Kaufman	June 2013	SAGE Publications, Inc
Robust Nonlinear Regression - with Applicationsusing R	Hossein Riazoshams	2018	John Wiley & Sons
Robust Response Surfaces, Regression, and Positive Data Analyses	Rabindra Nath Das	2014	Routledge
Robust Nonlinear Regression with Applications Using R	Hossein Riazoshams, Habshah Midi	2018	Wiley
Robust Estimation and Failure Detection: A Concise Treatment	Rami S. Mangoubi	1998	Springer London
Outlier	Walter Hildebrandt	1997	Ekstasis Editions
DOD budget data analyzed by robust regression techniques	Donald Paul Gaver	1975	Naval Postgraduate School
Robust Motion Detection in Real-Life Scenarios	Ester Martínez-Martín; Ángel P. del Pobil	2012	Springer London
Robust Filtering and Fault Detection of Switched Delay Systems	Dong Wang; Peng Shi; Wei Wang	2013	Springer Berlin Heidelberg
Simplified Robust Adaptive Detection and Beamforming for Wireless Communications	Ayman Elnashar	2018	John Wiley & Sons
Multi-model Jumping Systems: Robust Filtering and Fault Detection	Shuping He; Xiaoli Luan	1st ed. 2021	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Robust Functional Regression for Outlier Detection	Harjit Hullait; David S. Leslie; Nicos G. Pavlidis; Steve King	Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers	Vincent Lemaire; Simon Malinowski; Anthony Bagnall; Alexis Bondu; Thomas Guyet; Romain Tavenard	1st ed. 2020	Springer International Publishing
Robust Regression — Reduce Outlier Effects		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Robust Representations for Outlier Detection	Sheng Li; Yun Fu	Robust Representation for Data Analytics: Models and Applications	Sheng Li; Yun Fu	1st ed. 2017	Springer International Publishing
114 Outlier detection and robust procedures		Statistical Pattern Recognition	Andrew R. Webb	2002	Wiley
Outlier Detection and Robust Variable Selection for Least Angle Regression	Shirin Shahriari; Susana Faria; A. Manuela Gonçalves; Stefan Van Aelst	Computational Science and Its Applications - ICCSA 2014: 14th International Conference, Guimarães, Portugal, June 30 - July 3, 204, Proceedings, Part III	Beniamino Murgante; Sanjay Misra; Ana Maria Alves Coutinho Rocha; Carmelo Torre; Jorge Gustavo Rocha; Maria Irene Falcão; David Taniar; Bernady O. Apduhan; Osvaldo Gervasi	2014	Springer International Publishing
Outlier Detection in Linear Regression		Computational Modeling and Simulation of Intellect: Current State and Future Perspectives	Boris Igelnik	2011	Igi Global
Outlier Detection in Nonlinear Regression		Robust Nonlinear Regression - with Applicationsusing R	Hossein Riazoshams	2018	John Wiley & Sons
Reduce Outlier Effects Using Robust Regression		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Robust Bayesian Bounds for Outlier Detection	M. J. Bayarri; J. O. Berger	Recent Advances in Statistics and Probability: Proceedings of the 4th International Meeting of Statistics in the Basque Country, San Sebastian, Spain, 4–7 August, 1992	J. P. Vilaplana; M. N. Puri	1994	De Gruyter
Robust Transformations and Outlier Detection with Autocorrelated Data	Andrea Cerioli; Marco Riani	From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e. V. , University of Magdeburg, March 9-11, 2005	Myra Spiliopoulou; Rudolf Kruse; Christian Borgelt; Andreas Nürnberger; Wolfgang A. Gaul	2006	Springer Berlin Heidelberg
Outlier Detection		Encyclopedia of Social Network Analysis and Mining	Reda Alhajj; Jon Rokne	2014	Springer New York
Outlier Detection	Yufeng Kou; Chang-Tien Lu	Encyclopedia of GIS	Shashi Shekhar; Hui Xiong; Xun Zhou	2nd ed. 2017	Springer International Publishing
Outlier Detection	Irad Ben-Gal	Data Mining and Knowledge Discovery Handbook	Oded Maimon; Lior Rokach	2nd ed. 2010	Springer US
Outlier Detection	Irad Ben-Gal	Data Mining and Knowledge Discovery Handbook	Oded Maimon; Lior Rokach	2005	Springer US
Outlier Detection	Yufeng Kou; Chang-Tien Lu	Encyclopedia of GIS	Shashi Shekhar; Hui Xiong	2008	Springer US
Outlier Detection	Richard H. McCuen	Modeling Hydrologic Change: Statistical Methods	Richard H. McCuen	2002	Routledge
Outlier Detection	Al-Sakib Khan Pathan	The State of the Art in Intrusion Prevention and Detection	Al-Sakib Khan Pathan	2014	Routledge
Outlier Detection	Yangchang Zhao	R and Data Mining	Yangchang Zhao	2012	Academic Press
Outlier Detection	Masashi Sugiyama	Introduction to Statistical Machine Learning	Masashi Sugiyama	2016	Morgan Kaufmann
Outlier Detection	Jiawei Han; Micheline Kamber; Jian Pei	Data Mining: Concepts and Techniques (Third Edition)	Jiawei Han; Micheline Kamber and Jian Pei	2012	Morgan Kaufmann
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries