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050		4	_aQA71-90
082	0	4	_a518 _223
100	1		_aWasserman, Larry. _eauthor. _93001
245	1	0	_aAll of Statistics _bA Concise Course in Statistical Inference / _cby Larry Wasserman.
250			_a1st ed. 2004.
260			_aNew York, NY : _bSpringer New York : _c2004.
300			_aXX, 442 p.
490	1		_aSpringer Texts in Statistics, _x1431-875X
505	0		_aProbability -- Random Variables -- Expectation -- Inequalities -- Convergence of Random Variables -- Models, Statistical Inference and Learning -- Estimating the CDF and Statistical Functionals -- The Bootstrap -- Parametric Inference -- Hypothesis Testing and p-values -- Bayesian Inference -- Statistical Decision Theory -- Linear and Logistic Regression -- Multivariate Models -- Inference about Independence -- Causal Inference -- Directed Graphs and Conditional Independence -- Undirected Graphs -- Loglinear Models -- Nonparametric Curve Estimation -- Smoothing Using Orthogonal Functions -- Classification -- Probability Redux: Stochastic Processes -- Simulation Methods.
520			_aThis book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal-Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.
650		0	_aComputer mathematics. _91602
650		0	_aProbabilities. _91388
650		0	_aStatistical physics. _93002
650		0	_aDynamical systems. _93003
650		0	_aStatistics . _93004
650		0	_aMathematical statistics. _91389
650	1	4	_aComputational Mathematics and Numerical Analysis. _93005
650	2	4	_aProbability Theory and Stochastic Processes. _0http://scigraph.springernature.com/things/product-market-codes/M27004 _91806
650	2	4	_aComplex Systems. _0http://scigraph.springernature.com/things/product-market-codes/P33000 _93006
650	2	4	_aStatistical Theory and Methods. _0http://scigraph.springernature.com/things/product-market-codes/S11001 _91502
650	2	4	_aProbability and Statistics in Computer Science. _0http://scigraph.springernature.com/things/product-market-codes/I17036 _91990
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _0http://scigraph.springernature.com/things/product-market-codes/S17020 _92655
942			_2ddc _cBO