000			02272cam a2200481 i 4500
001			18221426
003			OSt
005			20210930200601.0
008			140711t20142014nyua b 001 0 eng d
010			_a 2014945645
020			_a9781493914708 (alk. paper)
020			_a1493914707 (alk. paper)
020			_z9781493914715 (eBook)
020			_z1493914715 (eBook)
035			_a(OCoLC)ocn881439320
040			_aYDXCP _beng _cYDXCP _erda _dBTCTA _dOCLCQ _dOUP _dOCLCF _dIUL _dOCLCQ _dDLC
042			_alccopycat
050	0	0	_aQA278.75 _b.A48 2014
082	0	4	_a519.5 _223
100	1		_aAlvo, Mayer, _eauthor.
245	1	0	_aStatistical methods for ranking data / _cMayer Alvo, Philip L.H. Yu.
264		1	_aNew York : _bSpringer, _c[2014]
264		4	_c♭2014
300			_axi, 273 pages : _billustrations (some color) ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aFrontiers in Probability and the Statistical Sciences.
504			_aIncludes bibliographical references (pages 261-270) and index.
505	0		_aIntroduction -- Exploratory analysis of ranking data -- Correlation analysis of paired ranking data -- Testing for randomness, agreement, and interaction -- Block designs -- General theory of hypothesis testing -- Testing for ordered alternatives -- Probability models for ranking data -- Probit models for ranking data -- Decision three models for ranking data -- Extension of distance-based models for ranking data -- Appendix A: Ranking data sets -- Appendix B: Limit theorems -- Appendix C: Review on decision trees.
650		0	_aRanking and selection (Statistics)
650		0	_aData mining.
650		0	_aMathematical statistics.
650		7	_aData mining. _2fast _0(OCoLC)fst00887946
650		7	_aMathematical statistics. _2fast _0(OCoLC)fst01012127
650		7	_aRanking and selection (Statistics) _2fast _0(OCoLC)fst01089915
700	1		_aYu, Philip. L. H., _eauthor.
830		0	_aFrontiers in probability and the statistical sciences.
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c6707 _d6707