Titlebook: L1-Norm and L∞-Norm Estimation; An Introduction to t Richard William Farebrother Book 2013 The Author(s) 2013 history of science.linear pro

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Richard William Farebrother, renewable, solar, or biofuel) - in the context of mitigatiThere is a mounting consensus that human behavior is changing the global climate and its consequence could be catastrophic. Reducing the 24 billion metric tons of carbon dioxide emissions from stationary and mobile sources is a gigantic tas

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Introduction, absolute residual (or .-norm) and the median squared residual as optimality criteria in the context of the standard linear statistical model. The least absolute residuals procedure was proposed by Boscovich in 1757 and again in 1760 and discussed by Laplace, Gauss and Edgeworth; the least squares p

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Linear Programming Computations, literature on modern standard and improved linear programming solutions to these problems. We investigate the possibility that a variant of the familiar simplex procedure could have been developed some thirty years before it actually appeared in the late 1940s. Finally, we survey a range of possibl

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Statistical Theory,distribution, then the principle of maximum likelihood suggests that we should choose estimates of the slope parameters to minimise the .-norm of the residuals with . or . respectively. In this context, we outline the small sample and asymptotic theory relating to these maximum likelihood estimators

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