000			01370nam a2200217 4500
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008			250326b |||||||| |||| 00| 0 eng d
020			_a9780521123259
037			_cTextual
040			_aRTL _cRTL
084			_aX:(B2895) Q0 _qRTL
100			_aGeer, Sara van de _9751506
245			_aEmpirical Processes in M-Estimation
260			_aNew York _bCambridge University Press _c2000
300			_axii, 286p. _bIncludes appendix, references, symbol index, author index and subject index
520			_aThe theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves
650			_aMathematics
650			_aProbabilities
650			_aStatistics
942			_2CC _n0 _cTB _hX:(B2895) Q0
999			_c1308211 _d1308211