000			01492 a2200253 4500
005			20250424170513.0
008			180105b xxu||||| |||| 00| 0 eng d
020			_a9783662537350
040			_cIIT Kanpur
041			_aeng
082			_a519.5 _bP414m
100			_aPereira, Basilio de Bragança
245			_aModel choice in nonnested families _cBasilio de Braganca Pereira [and] Carlos Alberto de Braganca Pereira
260			_bSpringer _c2016 _aBerlin
300			_ax,96p
440			_aSpringer briefs in statistics
500			_aIncludes bibliographical references and index
520			_ahis book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.
650			_aMathematical statistics
650			_aBayesian statistical decision theory
650			_aStatistics
700			_aPereira, Carlos Alberto de Braganca
942			_cBK
999			_c558265 _d558265