000			02020cam a2200277 i 4500
003			CUTN
005			20241128102050.0
008			160804s2016 gw a b 001 0 eng
020			_a9783110363197
041			_aEnglish
042			_apcc
082	0	0	_a519.5 _223 _bZOR
100	1		_aZörnig, Peter.
245	1	0	_aProbability theory and statistical applications : _ba profound treatise for self-study / _cPeter Zörnig.
260			_aBerlin : _bDe Gruyter, _c2016.
300			_aix, 284 pages : _billustrations ; _c24 cm.
490	0		_aDe Gruyter textbook
504			_aIncludes bibliographical references and index.
505			_tContents: Mathematics revision Introduction to probability Finite sample spaces Conditional probability and independence One-dimensional random variables Functions of random variables Bi-dimensional random variables Characteristics of random variables Discrete probability models Continuous probability models Generating functions in probability Sums of many random variables Samples and sampling distributions Estimation of parameters Hypothesis tests
520			_aThis accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to readers who need or want to learn by self-study. The author is convinced that sophisticated examples are more useful for the student than a lengthy formalism treating the greatest possible generality.
650		0	_aProbabilities.
650		0	_aMathematical statistics.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBOOKS
999			_c43869 _d43869