L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures (SpringerBriefs in Statistics) Buy on Amazon
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L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures (SpringerBriefs in Statistics)

Publisher Springer
37.95 39.95 -5% USD

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Book Details
Publisher Springer
ISBN / ASIN 3642362990
ISBN-13 9783642362996
Availability Usually ships in 24 hours
Sales Rank #3,646,320
Marketplace United States 🇺🇸
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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.​

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