000			03847nam a22004815i 4500
001			978-0-8176-8250-7
003			DE-He213
005			20140220083227.0
007			cr nn 008mamaa
008			111214s2012 xxu| s |||| 0|eng d
020			_a9780817682507 _9978-0-8176-8250-7
024	7		_a10.1007/978-0-8176-8250-7 _2doi
050		4	_aQA273.A1-274.9
050		4	_aQA274-274.9
072		7	_aPBT _2bicssc
072		7	_aPBWL _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.2 _223
100	1		_aSchinazi, Rinaldo B. _eauthor.
245	1	0	_aProbability with Statistical Applications _h[electronic resource] / _cby Rinaldo B. Schinazi.
264		1	_aBoston : _bBirkhäuser Boston, _c2012.
300			_aXI, 347p. 28 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPreface to the Second Edition -- Preface -- Probability Space -- Random Variables -- Binomial and Poisson Random Variables -- Limit Theorems -- Estimation and Hypothesis Testing -- Linear Regression -- Moment Generating Functions and Sums of Independent Random Variables -- Transformations of Random Variables and Random Vectors -- Finding and Comparing Estimators -- Multiple Linear Regression -- Further Reading -- Common Distributions -- Normal Table -- Student Table -- Chi-Square Table -- Index.
520			_a"This book is well-written and the presentation is clear and concise. The text is intended for a one-semester course for undergraduates, but it can also serve as a basis for a high-school course. The level of the book is very elementary and in most of the chapters of the book only basic calculus is required. . . No measure theory is required. In the huge variety of examples rather explicit calculations are presented: moments of several distributions, confidence intervals, testing some parameters or proportions, linear regression and more. Every subsection is rounded off by numerous exercises.” —Zentralblatt MATH (review of the first edition) This second edition of Probability with Statistical Applications offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of two entirely new chapters on “Finding and Comparing Estimators” and “Multiple Linear Regression.” The classroom-tested material presented in this second edition textbook forms the basis for a second course introducing mathematical statistics.
650		0	_aMathematics.
650		0	_aDistribution (Probability theory).
650		0	_aMathematical statistics.
650	1	4	_aMathematics.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aApplications of Mathematics.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780817682491
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-8176-8250-7
912			_aZDB-2-SMA
999			_c100222 _d100222