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…
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2013, ISBN: 3642362990
[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg Apr 2013], GEOMETRIE; RAUMLEHRE; MATHEMATIK / GESCHICHTE; MECHANIK; STATISTIK; HISTORYOFSCIENCE; LINEARPROGRAMMING; MATRIXTH… Más…
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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…
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2016, ISBN: 9783642362996
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2013, ISBN: 3642362990
[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg], GEOMETRIE RAUMLEHRE MATHEMATIK GESCHICHTE MECHANIK STATISTIK HISTORYOFSCIENCE LINEARPROGRAMMING MATRIXTHEORY MECHANICALMOD… Más…
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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…
2013, ISBN: 3642362990
[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg Apr 2013], GEOMETRIE; RAUMLEHRE; MATHEMATIK / GESCHICHTE; MECHANIK; STATISTIK; HISTORYOFSCIENCE; LINEARPROGRAMMING; MATRIXTH… Más…
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…
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…
2013, ISBN: 3642362990
[EAN: 9783642362996], Neubuch, [PU: Springer Berlin Heidelberg], GEOMETRIE RAUMLEHRE MATHEMATIK GESCHICHTE MECHANIK STATISTIK HISTORYOFSCIENCE LINEARPROGRAMMING MATRIXTHEORY MECHANICALMOD… Más…
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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.
Detalles del libro - L1-Norm and L?-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures Richard
EAN (ISBN-13): 9783642362996
ISBN (ISBN-10): 3642362990
Tapa dura
Tapa blanda
Año de publicación: 2013
Editorial: Springer Berlin Heidelberg Core >1
58 Páginas
Peso: 0,117 kg
Idioma: Englisch
Libro en la base de datos desde 2007-10-03T07:10:24-05:00 (Mexico City)
Página de detalles modificada por última vez el 2024-03-13T02:29:59-06:00 (Mexico City)
ISBN/EAN: 3642362990
ISBN - escritura alterna:
3-642-36299-0, 978-3-642-36299-6
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: farè, faré, norm
Título del libro: minimax, norm, est, mini max, introduction
Datos del la editorial
Autor: Richard Farebrother
Título: SpringerBriefs in Statistics; L1-Norm and L∞-Norm Estimation - An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures
Editorial: Springer; Springer Berlin
58 Páginas
Año de publicación: 2013-04-16
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
42,79 € (DE)
43,99 € (AT)
53,60 CHF (CH)
POD
VI, 58 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Mathematik; history of science; linear programming; matrix theory; mechanical models; statistical estimation; Statistical Theory and Methods; Linear Algebra; Geometry; History of Mathematical Sciences; Classical Mechanics; Algebra; Geometrie; Geschichte der Mathematik; Klassische Mechanik; EA
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.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 Includes supplementary material: sn.pub/extras
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