ISBN: 9783642362996

Linear Programming Computations. - Statistical Theory. Subtitle An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Short Title … Más…

Linear Programming Computations. - Statistical Theory. Subtitle An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures. Short Title L1-NORM & L -NORM ESTIMATION 2. The Nile on eBay   FREE SHIPPING UK WIDE   L1-Norm and L-Norm Estimation by Richard Farebrother This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Publisher Description This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques. Back Cover This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques. Author Biography Dr. Richard William Farebrother was a member of the teaching staff of the Victoria University of Manchester 1970-1993 and an Honorary Reader in Econometrics 1993-2001. He has published three books: Linear Least Squares Computations (1988), Fitting Linear Relationships (1999), and Visualizing Statistical Models and Concepts (2002). He has also published more than 150 research papers. Table of Contents Introduction.- Point Fitting Problems in One- and Two-dimensions.- The Hyperplane Fitting Problem in Two or More Dimensions.- Linear Programming Computations.- Statistical Theory.- The Least Median of Squared Residuals Procedure.- Mechanical Representations.- References.- Index of Names.   Feature Single source of information about this important area of research Wide-ranging discussion of least absolute residuals, minimax residual and least median of squared residuals fitting procedures Several new results not previously published in book form Details ISBN3642362990 Short Title L1-NORM & L -NORM ESTIMATION 2 Language English ISBN-10 3642362990 ISBN-13 9783642362996 Media Book Format Paperback Year 2013 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany DEWEY 519.5 Subtitle An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures Pages 58 Series SpringerBriefs in Statistics Edition 2013th Illustrations VI, 58 p. DOI 10.1007/978-3-642-36300-9 Publication Date 2013-04-16 Author Richard Farebrother Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2013 ed. Audience Professional & Vocational We've got thisAt The Nile, if you're looking for it, we've got it.With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICYNo questions asked, 30 day returns! FREE DELIVERYNo matter where you are in the UK, delivery is free. SECURE PAYMENTPeace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:137795399; , Neu, Festpreisangebot, [LT: FixedPrice], ISBN-13: 9783642362996, Book Title: L1-Norm and L-Norm Estimation, Publication Year: 2013, Type: Textbook, Format: Paperback, Language: English, Publication Name: L1-Norm and L -Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures, Item Height: 235mm, Item Width: 155mm, Subject: Mechanics, Mathematics, Item Weight: 1124g, Number of Pages: 58 Pages, Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG<

2013, ISBN: 3642362990

[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg Apr 2013], GEOMETRIE; RAUMLEHRE; MATHEMATIK / GESCHICHTE; MECHANIK; STATISTIK; HISTORYOFSCIENCE; LINEARPROGRAMMING; MATRIXTH… Más…

[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg Apr 2013], GEOMETRIE; RAUMLEHRE; MATHEMATIK / GESCHICHTE; MECHANIK; STATISTIK; HISTORYOFSCIENCE; LINEARPROGRAMMING; MATRIXTHEORY; MECHANICALMODELS; STATISTICALESTIMATION, This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques. 64 pp. Englisch, Books<

ISBN: 9783642362996

This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it … Más…

This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques.​ Trade Books>Trade Paperback>Science>Statistics & Probability>Statistics & Probability, Springer Berlin Heidelberg Core >1<

2016, ISBN: 9783642362996

[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alte… Más…

[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x4 mm, 64, [GW: 113g], Banküberweisung, PayPal, Klarna-Sofortüberweisung, Internationaler Versand<

2013, ISBN: 3642362990

[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg], GEOMETRIE RAUMLEHRE MATHEMATIK GESCHICHTE MECHANIK STATISTIK HISTORYOFSCIENCE LINEARPROGRAMMING MATRIXTHEORY MECHANICALMOD… Más…

[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg], GEOMETRIE RAUMLEHRE MATHEMATIK GESCHICHTE MECHANIK STATISTIK HISTORYOFSCIENCE LINEARPROGRAMMING MATRIXTHEORY MECHANICALMODELS STATISTICALESTIMATION WAHRSCHEINLICHKEITSTHEORIE STOCHASTIK MATHEMATISCHE HISTORY OF SCIENCE LINEAR PROGRAMMING, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Single source of information about this important area of researchWide-ranging discussion of least absolute residuals, minimax residual and least median of squared residuals fitting proceduresSeveral new results not previously published in ., Books<