000			02645nam a22002777a 4500
003			IIITD
005			20240506131716.0
008			240403b xxu||||| |||| 00| 0 eng d
020			_a 9780817682491
040			_aIIITD
082	0	0	_a519.2 _bSCH-P
100	1		_aSchinazi, Rinaldo B
245	1	0	_aProbability with statistical applications _cby Rinaldo B. Schinazi.
250			_a2nd ed.
260			_aBoston : _bBirkhauser, _c©2001
300			_axii, 218 p. ; _c24 cm.
500			_aInclude index.
505			_t1 Probability Space _t2 Random Variables _t3 Binomial and Poisson Random Variables _t4 Limit Theorems _t5 Estimation and Hypothesis Testing _t6 Linear Regression _t7 Moment Generating Functions and Sums of Independent Random Variables _t8 Transformations of Random Variables and Random Vectors
520			_aThis book is intended as a one-semester first course in probability and statistics, requiring only a knowledge of calculus. It will be useful for students majoring in a number of disciplines:for example,biology, computer science, electrical engineer­ ing, mathematics, and physics. Many good texts in probability and statistics are intended for a one-year course and consist of a large number of topics. In this book, the number of topics is dras­ tically reduced. We concentrate instead on several important concepts that every student should understand and be able to apply in an interesting and useful way. Thus statistics is introduced at an early stage. The presentation focuses on topics in probability and statistics and tries to min­ imize the difficulties students often have with calculus. Theory therefore is kept to a minimum and interesting examples are provided throughout. Chapter I contains the basic rules of probability and conditional probability with some interesting ap­ plications such asBayes' rule and the birthday problem. In Chapter 2 discrete and continuous random variables, expectation and variance are introduced. This chapter is mostly computational with a few probability concepts and many applications of calculus. In Chapters 3 and 4 we get to the heart of the subject: binomial distribu­ tion, normal approximation of the binomial, Poisson distribution, the Law of Large Numbers and the Central Limit Theorem. Wealso cover the Poisson approximation of the binomial (in a nonstandard way) and the Poisson scattering theorem. Collapse summary
650		0	_aProbabilities.
650		0	_aMathematical statistics.
650		0	_aApplications of Mathematics.
650		0	_aEngineering mathematics.
650		0	_a Waarschijnlijkheid (statistiek)
942			_2ddc _cBK _01
999			_c172552 _d172552