Author : Jay L. Devore
Publisher :
Page : 324 pages
File Size : 25,73 MB
Release : 1995
Category : Probabilities
ISBN : 9780534242664
Author : Jay L. Devore
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 46,95 MB
Release : 1995
Category : Mathematical statistics
ISBN : 9780534242657
This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.
Author : Janet Susan Milton
Publisher : McGraw-Hill Companies
Page : 824 pages
File Size : 21,79 MB
Release : 2003
Category : 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.
Author : Jay L. Devore
Publisher :
Page : 752 pages
File Size : 33,91 MB
Release : 2008-02-27
Category : Mathematical statistics
ISBN : 9780495557456
This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics to actually putting the statistical methods to use. Rather than focus on rigorous mathematical development and potentially overwhelming derivations, the book emphasizes concepts, models, methodology, and applications that facilitate your understanding.
Author : William Navidi
Publisher : McGraw-Hill Science/Engineering/Math
Page : 928 pages
File Size : 34,14 MB
Release : 2010-01-27
Category : Technology & Engineering
ISBN : 9780073376332
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
Author : Anthony J. Hayter
Publisher : Thomson Brooks/Cole
Page : 826 pages
File Size : 33,45 MB
Release : 2012
Category : 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 : Alan Agresti
Publisher : Pearson
Page : 0 pages
File Size : 21,35 MB
Release : 2017-03-21
Category : Social sciences
ISBN : 9780134512792
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Author : Julie Ann Seely
Publisher :
Page : 328 pages
File Size : 19,16 MB
Release : 2004
Category : Mathematics
ISBN :
The student solutions manual contains the worked out solutions to all odd numbered problems in the book.
Author : Ronald E. Walpole
Publisher :
Page : 0 pages
File Size : 43,18 MB
Release : 2017
Category : 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 : William DeCoursey
Publisher : Elsevier
Page : 417 pages
File Size : 45,92 MB
Release : 2003-05-14
Category : Mathematics
ISBN : 0080489753
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
