000			01690 a2200301 4500
999			_c200045672 _d11793
001			200045672
003			TR-AnTOB
005			20200109113126.0
008			121107s2007 enk 001 0
020			_a0521496039 (hardcover)
040			_aDLC _cDLC _dTR-AnTOB
041			_aeng
050	0	0	_aQA276 _b.V22 2007
090			_aQA276 _b.V22 2007
100	1		_aVaart, A. W. van der _984581
245	1	0	_aAsymptotic statistics / _cA.W. van der Vaart.
264		1	_aCambridge, UK ; _aNew York, NY, USA : _bCambridge University Press, _c2007.
300			_axv, 443 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aCambridge series in statistical and probabilistic mathematics
504			_aIncludes bibliographical references (p. 433-438) and index.
505			_aI.Introduction -- II.Stochastic convergence -- III.Delta method -- IV.Moment estimators -- V.M- and Z- estimators -- VI.Contiguity -- VII.Local asymptotic normality -- VIII.Efficiency of estimators -- IX.Limits of experiments -- X.Bayes procedures -- XI.Projections -- XII.U-Statistics -- XIII.Rank,Sign and permutation statistics -- XIV.Relative efficiency of tests -- XV.Efficiency of tests -- XVI.Likelihood ratio tests -- XVII.Chi-square tests -- XVIII.Stochastic convergence in metric spaces -- XIX.Empirical processes -- XX.Functional delta method -- XXI.Quantiles and order statistics -- XXII.L-Statistics -- XXIII.Bootstrap -- XXIV.Nonparametric density estimation -- XXV.Semiparametric models.
650		0	_aMathematical statistics _xAsymptotic theory _984582
942			_cBK _2lcc