000			03084nam a22003497a 4500
005			20250918192355.0
008			130731s2013 flu b 001 0 eng d
020			_a9781439840689 (hbk.) _cRM327.48
020			_a1439840687 (hbk.)
039		9	_a201312311004 _bbaiti _c201312171120 _dros _y07-31-2013 _zros
040			_aBTCTA _beng _cBTCTA _dUKMGB _dYDXCP _dYOU _dBWX _dOUP _dZ@L _dDLC _dUKM
090			_aQA276.J868
090			_aQA276 _b.J868
100	1		_aJureckova, Jana, _d1940-
245	1	0	_aMethodology in robust and nonparametric statistics / _cJana Jure飫ov Pranab Kumar Sen, Jan Picek.
260			_aBoca Raton, FL : _bCRC Press, _cc2013.
300			_axv, 394 p. ; _c24 cm.
504			_aIncludes bibliographical references (p. 357-384) and indexes.
505	0		_aIntroduction and synopsis -- Preliminaries -- Robust estimation of location and regression -- Asymptotic representations for L-estimators -- Asymptotic representations for M-estimators -- Asymptotic representations for R-estimators -- Asmptotic interralations of estimators -- Robust estimation: multivariate perspectives -- 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.
650		0	_aRobust statistics.
650		0	_aNonparametric statistics.
700	1		_aSen, Pranab Kumar, _d1937-
700	1		_aPicek, Jan, _d1965-
907			_a.b15694069 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA276.J868
914			_avtls003536323
990			_abaiti
991			_aFakulti Sains dan Teknologi
998			_at _b2013-05-07 _cm _da _feng _gflu _y0 _z.b15694069
999			_c552022 _d552022