Probability And Statistics For Modern Engineering

Author : Lawrence L. Lapin
Publisher :
ISBN 13 :
Total Pages : 838 pages
Book Rating : 4.12/5 ( download)

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Download or read book Probability and Statistics for Modern Engineering written by Lawrence L. Lapin and published by . This book was released on 1998 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text helps engineering students assimilate probability & statistics & will assist them to discover how these subjects are relevant to their interests & immediate needs.

Author : Lawrence L Lapin
Publisher :
ISBN 13 : 9780881449969
Total Pages : 810 pages
Book Rating : 4.62/5 ( download)

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Download or read book Probability & Statistics for Modern Engineering written by Lawrence L Lapin and published by . This book was released on 1998-04-01 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : F.M. Dekking
Publisher : Springer Science & Business Media
ISBN 13 : 1846281687
Total Pages : 488 pages
Book Rating : 4.86/5 ( download)

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Download or read book A Modern Introduction to Probability and Statistics written by F.M. Dekking and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 0470096071
Total Pages : 198 pages
Book Rating : 4.79/5 ( download)

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Download or read book Solutions Manual to accompany Modern Engineering Statistics written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2007-10-12 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering. With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features: Examples demonstrating the use of statistical thinking and methodology for practicing engineers A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets Clear illustrations of the relationship between hypothesis tests and confidence intervals Extensive use of Minitab and JMP to illustrate statistical analyses The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics.

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 0470081872
Total Pages : 606 pages
Book Rating : 4.77/5 ( download)

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Download or read book Modern Engineering Statistics written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2007-09-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering. With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features: Examples demonstrating the use of statistical thinking and methodology for practicing engineers A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets Clear illustrations of the relationship between hypothesis tests and confidence intervals Extensive use of Minitab and JMP to illustrate statistical analyses The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics.

Author :
Publisher :
ISBN 13 : 9781337762021
Total Pages : pages
Book Rating : 4.24/5 ( download)

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Download or read book Probability and Statistics for Engineering and the Sciences + Enhanced Webassign Access written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Richard L. Scheaffer
Publisher :
ISBN 13 : 9780538735902
Total Pages : 818 pages
Book Rating : 4.02/5 ( download)

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Download or read book Probability and Statistics for Engineers written by Richard L. Scheaffer and published by . This book was released on 2011 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: PROBABILITY AND STATISTICS FOR ENGINEERS, 5e, International Edition provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough a wide array of illuminating engineering applications and an accessible modern framework that emphasizes statistical thinking, data collection and analysis, decision-making, and process improvement skills

Author : Lawrence L. Lapin
Publisher : Cengage Learning
ISBN 13 : 9780534508838
Total Pages : 0 pages
Book Rating : 4.39/5 ( download)

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Download or read book Modern Engineering Statistics written by Lawrence L. Lapin and published by Cengage Learning. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This disks contain compressed Ascii, Minitab, Minitab Portable, and Statquest data files.

Author : William DeCoursey
Publisher : Elsevier
ISBN 13 : 0080489753
Total Pages : 396 pages
Book Rating : 4.59/5 ( download)

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Download or read book Statistics and Probability for Engineering Applications written by William DeCoursey and published by Elsevier. This book was released on 2003-05-14 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory

Author : Sheldon M. Ross
Publisher :
ISBN 13 :
Total Pages : 532 pages
Book Rating : 4.42/5 ( download)

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Download or read book Introduction to Probability and Statistics for Engineers and Scientists written by Sheldon M. Ross and published by . This book was released on 1987 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.