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[null,"1.","Record Nr.",null,"UNINA9910437861403321"]
[null,null,"Autore",null,"Farebrother R. W. <1946->"]
[null,null,"Titolo",null,"L1-Norm and L∞-Norm Estimation : An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures / / by Richard Farebrother"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013"]
[null,null,"ISBN",null,"3-642-36300-8"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (58 p.)"]
[null,null,"Collana",null,"SpringerBriefs in Statistics, , 2191-5458"]
[null,null,"Disciplina",null,"519.5"]
[{"$nulls":4},"519.5/44"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Algebras, Linear"]
[{"$nulls":4},"Geometry"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"History"]
[{"$nulls":4},"Mechanics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Linear Algebra"]
[{"$nulls":4},"History of Mathematical Sciences"]
[{"$nulls":4},"Classical Mechanics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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.  ."]
[null,null,null,"Sommario/riassunto","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."]