Probability and Statistics for Engineering and Science - Instructor's Resource Manual PDF Download
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Author: Jay Devore
Publisher:
ISBN: 9781133364894
Category :
Languages : en
Pages :
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Book Description
Author: Jay Devore
Publisher:
ISBN: 9781133364894
Category :
Languages : en
Pages :
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Book Description
Author: William W. Hines
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 220
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Book Description
Author: Walter A. Rosenkrantz
Publisher:
ISBN: 9780072291391
Category :
Languages : en
Pages : 253
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Book Description
Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495557449
Category : Mathematics
Languages : en
Pages : 768
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Book Description
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: Sheldon M. Ross
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 532
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Book Description
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.
Author: Kishor S. Trivedi
Publisher: John Wiley & Sons
ISBN: 1119314208
Category : Computers
Languages : en
Pages : 1042
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Book Description
An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Author: T. T. Soong
Publisher: John Wiley & Sons
ISBN: 9780470868140
Category : Mathematics
Languages : en
Pages : 410
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Book Description
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: Arak M. Mathai
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311056260X
Category : Mathematics
Languages : en
Pages : 732
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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
Author: Anthony J. Hayter
Publisher: Duxbury Resource Center
ISBN: 9780534386696
Category : Engineering
Languages : en
Pages : 0
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Book Description
The new edition of Anthony Hayter's book addresses the many challenges professors face in Engineering Statistics. Debate over teaching this course has centered on which topics to emphasize and how to do so (e.g., balancing data analysis with probability and use of the computer with the understanding of formulas). While Hayter's book assumes students have some quantitative ability, it provides a primarily applied rather than theoretical approach. Hayter has carefully constructed his book to allow for maximum customization. The material has been divided into four sections based on probability (Chapters 1 - 5), basic statistics (Chapters 6 - 10), advanced statistical methodologies (Chapters 11 - 14), and additional topics (Chapters 15 - 17). The Preface offers suggested paths that can be taken, based on topic preference. This is ideal for departments where different methods of teaching coexist. This flexible approach is also employed with regard to the use of computer tools. Because the book is not tied to a particular software package, instructors may choose to use the program that best suits their needs. However, the book does provide substantial computer output (using MINITAB and other programs) to give students the necessary practice in interpreting computer output. "Computer Note" sections offer tips for using various software packages to perform analysis of the data sets, which can be downloaded from the web site. Through the use of extensive examples and data sets, the book illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as students in physics, chemistry, computing, biology, management, and mathematics.
![Student Solutions Manual [for] Probability & Statistics for Engineers & Scientists, 8th Ed PDF](https://books.google.com/books/content/images/frontcover/XwjFAAAACAAJ?fife=w80-h100)
Author: Sharon L. Myers
Publisher: Prentice Hall
ISBN: 9780131877139
Category : Education
Languages : en
Pages : 129
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Book Description
Fully worked solutions to odd-numbered exercises
