02693nam 2200673Ia 450 991014606830332120170815114511.01-280-25303-797866102530360-471-72537-40-471-72538-2(CKB)1000000000019162(EBL)226541(OCoLC)475932731(SSID)ssj0000664324(PQKBManifestationID)11447137(PQKBTitleCode)TC0000664324(PQKBWorkID)10613030(PQKB)11036893(SSID)ssj0000239030(PQKBManifestationID)11199906(PQKBTitleCode)TC0000239030(PQKBWorkID)10238993(PQKB)11309068(MiAaPQ)EBC226541(EXLCZ)99100000000001916219870323d1987 uy 0engur|n|---|||||txtccrRobust regression and outlier detection[electronic resource] /Peter J. Rousseeuw, Annick M. LeroyNew York Wileyc19871 online resource (354 p.)Wiley series in probability and mathematical statistics. Applied probability and statistics,0271-6356Description based upon print version of record.0-471-85233-3 Includes bibliographical references and index.Robust Regression and Outlier Detection; Contents; 1. Introduction; 2. Simple Regression; 3. Multiple Regression; 4. The Special Case of One-Dimensional Location; 5. Algorithms; 6. Outlier Diagnostics; 7. Related Statistical Techniques; References; Table of Data Sets; Index; Provides an applications-oriented introduction to robust regression and outlier detection, emphasising °high-breakdown° methods which can cope with a sizeable fraction of contamination. Its self-contained treatment allows readers to skip the mathematical material which is concentrated in a few sections.Wiley series in probability and mathematical statistics.Applied probability and statistics.Least squaresOutliers (Statistics)Regression analysisElectronic books.Least squares.Outliers (Statistics)Regression analysis.519.5/36Rousseeuw Peter J12084Leroy Annick M12085MiAaPQMiAaPQMiAaPQBOOK9910146068303321Robust regression and outlier detection1143882UNINA