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Author: Lawrence L. Lapin
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 838
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Book Description
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:
Category : Mathematics
Languages : en
Pages : 838
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Book Description
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: 9780881449969
Category :
Languages : en
Pages : 810
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Book Description
Author: Thomas P. Ryan
Publisher: John Wiley & Sons
ISBN: 0470096071
Category : Mathematics
Languages : en
Pages : 198
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Book Description
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: F.M. Dekking
Publisher: Springer Science & Business Media
ISBN: 1846281687
Category : Mathematics
Languages : en
Pages : 488
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Book Description
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: 0470081872
Category : Mathematics
Languages : en
Pages : 606
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Book Description
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: Walter A. Rosenkrantz
Publisher: CRC Press
ISBN: 158488813X
Category : Mathematics
Languages : en
Pages : 680
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Book Description
Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create
Author:
Publisher:
ISBN: 9781337762021
Category :
Languages : en
Pages :
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Book Description
Author: Lapin
Publisher:
ISBN: 9780534014612
Category : Engineering
Languages : en
Pages : 281
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Book Description
Author: Lawrence L. Lapin
Publisher: Cengage Learning
ISBN: 9780534508838
Category : Engineering
Languages : en
Pages : 0
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Book Description
This disks contain compressed Ascii, Minitab, Minitab Portable, and Statquest data files.
Author: Arak M. Mathai
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311056260X
Category : Mathematics
Languages : en
Pages : 879
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Book Description
This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers
