000			02805cam a22003018i 4500
999			_c6082 _d6082
001			324633
003			0000000000
005			20180212093153.0
008			150903s2016 nju 001 0 eng c
020			_a9781119127925 (cloth)
040			_erda
050	0	0	_aQA 276.A2 _b.G686 2016
100	1		_aGorroochurn, Prakash, _d1971- _eauthor. _921071
245	1	0	_aClassic topics on the history of modern mathematical statistics : _bfrom Laplace to more recent times / _cPrakash Gorroochurn.
260			_aHoboken, New Jersey : _bJohn Wiley & Sons, _cc2016.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, _cc2016.
265			_aFFB
300			_axxi, 754 pages ; _b25 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes index.
505	0		_aThe Laplacean revolution -- Galton, regression, and correlation -- Karl Pearson's chi-squared goodness-of-fit test -- Student's test -- the Fisherian legacy -- Beyond Fisher and Neyman-Pearson.
520			_aThis book presents a clear and comprehensive guide to the history of mathematical statistics, including details on the major results and crucial developments over a 200 year period. The author focuses on key historical developments as well as the controversies and disagreements that were generated as a result. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. The book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Fisher, Neyman and Pearson. A detailed account of Galton's discovery of regression and correlation is provided, and the subsequent development of Karl Pearson's X2 and Student's t is discussed. Next, the author provides significant coverage of Fisher's works and ultimate influence on modern statistics. The third and final part of the book deals with post-Fisherian developments, including extensions to Fisher's theory of estimation (by Darmois, Koopman, Pitman, Aitken, Fr�echet, Cram�er, Rao, Blackwell, Lehmann, Scheff�e, and Basu), Wald's statistical decision theory, and the Bayesian revival ushered by Ramsey, de Finetti, Savage, and Robbins in the first half of the 20th century.Throughout the book, the author includes details of the various alternative theories and disagreements concerning the history of modern statistics.
650		0	_aMathematical statistics _xHistory. _921072
650		0	_aProbabilities _xHistory. _921073
942			_2lcc _cGS
984			_a064518 _blac