000			03593cam a2200277 a 4500
001			vtls000000022
003			VRT
005			20250102224210.0
008			080907s2003 njua |b 001 0 eng
020			_a0471240877 (cloth : acidfree paper)
039		9	_a201402040045 _bVLOAD _c201005311026 _dmalmash _c200809071038 _dstaff _y200809071035 _zstaff
050	0	0	_aTA340 _b.H55 2003
245	0	0	_aProbability and statistics in engineering / _cWilliam W. Hines ... [et al.].
250			_a4th ed.
260			_aHoboken, NJ : _bWiley, _cc2003.
300			_axii, 655 p. : _bill. ; _c27 cm.
504			_aIncludes bibliographical references (p. 637-638) and index.
505			_a$a An Introduction to Probability.One-Dimensional Random Variables.Functions of One Random Variable and Expectation.Joint Probability Distributions.Some Important Discrete Distributions.Some Important Continuous Distributions.The Normal Distribution.Introduction to Statistics and Data Description.Random Samples and Sampling Distributions.Parameter Estimation.Tests of Hypotheses.Design and Analysis of Single-Factor Experiments: The Analysis of Variance.Design of Experiments with Several Factors.Simple Linear Regression and Correlation.Multiple Regression.Nonparametric Statistics.Statistical Quality Control and Reliability Engineering.Stochastic Processes and Queueing.Computer Simulation.Appendix.References.Answers to Selected Exercises.Index.
520			_a$a Now with even more examples with real data, real world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you re likely to encounter as a professional engineer. Together with new co authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p values in hypothetical testing, and residual analysis. Highlights of the Fourth Edition include: new examples and applications that provide a real world perspective on how engineers use probability and statistics in professional practice; and, over 600 exercises, including many new computation problems, provide opportunities for hands on learning. An entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis. New chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques. Each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic. End of chapter summaries reinforce the main topics and goals of the chapter.
650		0	_aEngineering _xStatistical methods. _97206
700	1		_aHines, William W. _937527
700	1		_aHines, William W. _tProbability and statistics in engineering and management science. _937528
856			_3Publisher description _uhttp://www.loc.gov/catdir/description/wiley038/2002026703.html
856			_3Table of contents _uhttp://www.loc.gov/catdir/toc/wiley023/2002026703.html
942			_2lcc _n0 _cBK
999			_c16637 _d16637