000			01405nam a2200205Ia 4500
008			210916s9999 xx 000 0 und d
020			_a9780070636941
082			_a519.5 _bMIL
100			_aMilton, J. Susan _96268
245		0	_aIntroduction to probability and statistics : _bprinciples and applications for engineering and the computing sciences
250			_a4th ed.
260			_aChennai _bMcGraw Hill _c2003
300			_a798p.
520			_aThis well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis
650			_aProbabilities _9492
650			_aStatistics _9401
650			_aEngineering mathematics _94147
700			_aArnold, Jesse C. _96269
942			_cBK
999			_c6337 _d6337