Statistics and Probability for Engineering Applications Book [PDF] Download

Download the fantastic book titled Statistics and Probability for Engineering Applications written by William DeCoursey, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Statistics and Probability for Engineering Applications", which was released on 14 May 2003. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Statistics and Probability for Engineering Applications by William DeCoursey PDF

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


Detail About Statistics and Probability for Engineering Applications PDF

  • Author : William DeCoursey
  • Publisher : Elsevier
  • Genre : Mathematics
  • Total Pages : 396 pages
  • ISBN : 0080489753
  • PDF File Size : 43,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications
  • Publisher : Elsevier
  • File Size : 30,9 Mb
  • Release Date : 14 May 2003
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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

Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications
  • Publisher : Newnes
  • File Size : 45,7 Mb
  • Release Date : 14 April 2003
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Makes statistical methods easier and accessible to engineers. This book points the reader to the topics and sections pertinent to a particular type of statistical problem. It includes a CD-ROM

Applied Statistics and Probability for Engineers

Applied Statistics and Probability for Engineers
  • Publisher : Wiley Global Education
  • File Size : 35,9 Mb
  • Release Date : 15 February 2018
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Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich

Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists
  • Publisher : Unknown Publisher
  • File Size : 48,8 Mb
  • Release Date : 14 May 1987
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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.