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001			280047
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008			150903s2007 xxu| o |||| 0|eng d
020			_a9780387464091 _99780387464091
024	7		_a10.1007/9780387464091 _2doi
035			_avtls000331504
039		9	_a201509030754 _bVLOAD _c201404121852 _dVLOAD _c201404091620 _dVLOAD _c201401311417 _dstaff _y201401301211 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA21-27
100	1		_aHald, Anders. _eautor _9304717
245	1	2	_aA History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935 / _cby Anders Hald.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_axiii, 223 páginas, _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSources and Studies in the History of Mathematics and Physical Sciences
500			_aSpringer eBooks
505	0		_aThe Three Revolutions in Parametric Statistical Inference -- The Three Revolutions in Parametric Statistical Inference -- Binomial Statistical Inference -- James Bernoulli’s Law of Large Numbers for the Binomial, 1713, and Its Generalization -- De Moivre’s Normal Approximation to the Binomial, 1733, and Its Generalization -- Bayes’s Posterior Distribution of the Binomial Parameter and His Rule for Inductive Inference, 1764 -- Statistical Inference by Inverse Probability -- Laplace’s Theory of Inverse Probability, 1774–1786 -- A Nonprobabilistic Interlude: The Fitting of Equations to Data, 1750–1805 -- Gauss’s Derivation of the Normal Distribution and the Method of Least Squares, 1809 -- Credibility and Confidence Intervals by Laplace and Gauss -- The Multivariate Posterior Distribution -- Edgeworth’s Genuine Inverse Method and the Equivalence of Inverse and Direct Probability in Large Samples, 1908 and 1909 -- Criticisms of Inverse Probability -- The Central Limit Theorem and Linear Minimum Variance Estimation by Laplace and Gauss -- Laplace’s Central Limit Theorem and Linear Minimum Variance Estimation -- Gauss’s Theory of Linear Minimum Variance Estimation -- Error Theory. Skew Distributions. Correlation. Sampling Distributions -- The Development of a Frequentist Error Theory -- Skew Distributions and the Method of Moments -- Normal Correlation and Regression -- Sampling Distributions Under Normality, 1876–1908 -- The Fisherian Revolution, 1912–1935 -- Fisher’s Early Papers, 1912–1921 -- The Revolutionary Paper, 1922 -- Studentization, the F Distribution, and the Analysis of Variance, 1922–1925 -- The Likelihood Function, Ancillarity, and Conditional Inference.
520			_aThis is a history of parametric statistical inference, written by one of the most important historians of statistics of the 20th century, Anders Hald. This book can be viewed as a follow-up to his two most recent books, although this current text is much more streamlined and contains new analysis of many ideas and developments. And unlike his other books, which were encyclopedic by nature, this book can be used for a course on the topic, the only prerequisites being a basic course in probability and statistics. The book is divided into five main sections: * Binomial statistical inference; * Statistical inference by inverse probability; * The central limit theorem and linear minimum variance estimation by Laplace and Gauss; * Error theory, skew distributions, correlation, sampling distributions; * The Fisherian Revolution, 1912-1935. Throughout each of the chapters, the author provides lively biographical sketches of many of the main characters, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. He also examines the roles played by DeMoivre, James Bernoulli, and Lagrange, and he provides an accessible exposition of the work of R.A. Fisher. This book will be of interest to statisticians, mathematicians, undergraduate and graduate students, and historians of science.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387464084
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-46409-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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