000			a
999			_c32496 _d32496
008			230831b xxu||||| |||| 00| 0 eng d
020			_a9783030936341
082			_a519.2 _bSCH
100			_aSchinazi, Rinaldo B.
245			_aProbability with statistical applications
250			_a3rd ed.
260			_bBirkhauser, _c2022 _aCham ;
300			_axi, 361 p. ; _bill., _c24 cm
365			_b54.99 _cEUR _d94.90
504			_aIncludes bibliographical references and index.
520			_aThis textbook, now in its third edition, offers a practical introduction to probability with statistical applications, covering material for both a first and second undergraduate probability course. The author focuses on essential concepts that every student should thoroughly understand. The content is organized into brief, easy-to-follow chapters, motivated by plenty of examples. The first part of the book focuses on classical discrete probability distributions, then goes on to study continuous distributions, confidence intervals, and statistical tests. The following section introduces more advanced concepts suitable for a second course in probability, such as random vectors and sums of random variables. The last part of the book is dedicated to mathematical statistics concepts such as estimation, sufficiency, Bayes' estimation, and multiple regression. This third edition includes a new chapter on combinatorics and a more distinct separation between discrete and continuous distributions. Some of the longer chapters in the previous editions have been divided into shorter chapters to allow for more flexible teaching. Probability with Statistical Applications, Third Edition is intended for undergraduate students taking a first course in probability; later chapters are also suited for a second course in probability and mathematical statistics. Calculus is the only prerequisite; prior knowledge of probability is not required.
650			_aMathematical statistics
650			_aProbabilities
650			_aApplications of mathematics
650			_aDistribution probability theory
650			_aStochastic Processes
650			_aPoisson distribution
650			_aNull hypothesis
650			_aNormal random variable
650			_aExponentially distributed
650			_aExponential family
650			_aDistribution function
650			_aContinuous random variable
650			_aChi-squared distribution
650			_aConfidence interval
650			_aBinomial random variable
650			_aBernoulli random variables
942			_2ddc _cBK