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008			121017s2013 flu sb 001 0 eng d
020			_a9781439840696 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aQA276 _b.J87 2013
092			_a519.5 _bJ958
100	1		_aJure�ckov�a, Jana, _d1940-
245	1	0	_aMethodology in robust and nonparametric statistics _h[electronic resource] / _cJana Jure�ckov�a, Pranab Kumar Sen, Jan Picek.
260			_aBoca Raton, Fla. : _bCRC Press, _cc2013.
300			_axv, 394 p.
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references (p. 357-384) and indexes.
505	0		_a1. Introduction and synopsis -- 2. Preliminaries -- 3. Robust estimation of location and regression -- 4. Asymptotic representations for L-estimators -- 5. Asymptotic representations for M-estimators -- 6. Asymptotic representations for R-estimators -- 7. Asmptotic interrelations of estimators -- 8. Robust estimation : multivariate perspectives -- 9. Robust tests and confidence sets.
520			_a"Show synopsis Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text"--Back cover.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aRobust statistics.
650		0	_aNonparametric statistics.
655		7	_aElectronic books. _2lcsh
700	1		_aSen, Pranab Kumar, _d1937-
700	1		_aPicek, Jan, _d1965-
776	1		_z9781439840689 (hardback) _z1439840687
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439840696 _qapplication/PDF
999			_c11644 _d11643