Probability And Statistics In Engineering 4th Ed
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| Author | : William W. Hines |
| Publisher | : John Wiley & Sons |
| Total Pages | : 676 |
| Release | : 2008-05 |
| Genre | : |
| ISBN | : 9788126516469 |
Market_Desc: · Advanced Undergraduate Students in Engineering or Management About The Book: This book retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. Topics included in this book are nonparametric statistics, p-values in hypothetical testing, residual analysis, quality control and experiment design.
| Author | : William W. Hines |
| Publisher | : John Wiley & Sons |
| Total Pages | : 772 |
| Release | : 1980 |
| Genre | : Business & Economics |
| ISBN | : |
* End-of-chapter summaries reinforce the main topics and goals of the chapter.
| Author | : Anthony J. Hayter |
| Publisher | : Thomson Brooks/Cole |
| Total Pages | : 826 |
| Release | : 2012 |
| Genre | : Mathematics |
| ISBN | : 9781133112143 |
PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, 4E, International Edition continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily—and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers' attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.
| Author | : Irwin Miller |
| Publisher | : Prentice Hall |
| Total Pages | : 550 |
| Release | : 1976 |
| Genre | : Mathematics |
| ISBN | : |
| Author | : T. T. Soong |
| Publisher | : John Wiley & Sons |
| Total Pages | : 406 |
| Release | : 2004-06-25 |
| Genre | : Mathematics |
| ISBN | : 0470868155 |
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
| Author | : Milan Holický |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 188 |
| Release | : 2013-08-04 |
| Genre | : Mathematics |
| ISBN | : 3642383009 |
The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.
| Author | : Ronald E. Walpole |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : Engineering |
| ISBN | : 9780134115856 |
For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. Also available with MyStatLab MyStatLab(tm) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab(tm) & Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e Package consists of: 0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages
| Author | : Jay Devore |
| Publisher | : Cengage Learning |
| Total Pages | : 768 |
| Release | : 2007-01-26 |
| Genre | : Mathematics |
| ISBN | : 9780495382171 |
This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
| Author | : Douglas C. Montgomery |
| Publisher | : John Wiley & Sons Incorporated |
| Total Pages | : 768 |
| Release | : 2006-05 |
| Genre | : Technology & Engineering |
| ISBN | : 9780470067215 |
Written by engineers, it uses a practical, applied approach that is more oriented to engineering than any other text available. Instead of a few engineering examples mixed in with examples from other fields, all of its unique problem sets reflect the types of situations encountered by engineers in their working lives.
| Author | : Janet Susan Milton |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 824 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : |
This 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.
