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001  9780817645915  
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_a9780817645915 _99780817645915 

024  7 
_a10.1007/9780817645915 _2doi 

050  4  _aQA273.A1274.9  
050  4  _aQA274274.9  
072  7 
_aPBT _2bicssc 

072  7 
_aPBWL _2bicssc 

072  7 
_aMAT029000 _2bisacsh 

082  0  4 
_a519.2 _223 
100  1 
_aSchay, Géza. _eauthor. 

245  1  0 
_aIntroduction to Probability with Statistical Applications _h[electronic resource] / _cby Géza Schay. 
264  1 
_aBoston, MA : _bBirkhäuser Boston, _c2007. 

300 
_aX, 318 p. 44 illus. _bonline resource. 

336 
_atext _btxt _2rdacontent 

337 
_acomputer _bc _2rdamedia 

338 
_aonline resource _bcr _2rdacarrier 

347 
_atext file _bPDF _2rda 

505  0  _aThe Algebra of Events  Combinatorial Problems  Probabilities  Random Variables  Expectation, Variance, Moments  Some Special Distributions  The Elements of Mathematical Statisti.  
520  _aThis textbook is an introduction to probability and statistics for nonmathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. Main statistical concepts considered are point and interval estimates, hypothesis testing, power function, various statistical tests: z, t, chisquare and KolmogorovSmirnov. Key features: * Presents rigorous discussion, with definitions, theorems, and proofs, but aimed at a nonspecialist audience; *Avoids linear algebra; * Treats informally the few unavoidable concepts from multivariable calculus, such as double integrals; * Motivates new concepts throughout using examples and brief conceptual discussions; * Develops basic ideas with clear definitions, carefully designed notation and techniques of statistical analysis, along with wellchosen examples, exercises and applications. The book contains enough material for two semesters but, with judicious selection, it can also be used for a onesemester course, either in probability and statistics or in probability alone. .Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications.  
650  0  _aMathematics.  
650  0  _aMathematical statistics.  
650  0  _aMeasure theory.  
650  0  _aApplied mathematics.  
650  0  _aEngineering mathematics.  
650  0  _aProbabilities.  
650  0  _aStatistics.  
650  1  4  _aMathematics. 
650  2  4  _aProbability Theory and Stochastic Processes. 
650  2  4  _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650  2  4  _aProbability and Statistics in Computer Science. 
650  2  4  _aMeasure and Integration. 
650  2  4  _aApplications of Mathematics. 
710  2  _aSpringerLink (Online service)  
773  0  _tSpringer eBooks  
776  0  8 
_iPrinted edition: _z9780817644970 
856  4  0  _uhttp://dx.doi.org/10.1007/9780817645915 
912  _aZDB2SMA  
999 
_c369938 _d369938 