**Author**: Bilal M. Ayyub

**Publisher:** CRC Press

**Format:** PDF, ePub, Docs

**Category : **Business & Economics

**Languages : **en

**Pages : **671

**View:** 2541

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**Book Description:**
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.

**Author**: William M. Mendenhall

**Publisher:** CRC Press

**Format:** PDF, Mobi

**Category : **Mathematics

**Languages : **en

**Pages : **458

**View:** 2655

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**Book Description:**
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

**Author**: Jay L. Devore

**Publisher:** Brooks Cole

**Format:** PDF

**Category : **
**Languages : **en

**Pages : **
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**Book Description:**

**Author**: Ronald E. Walpole

**Publisher:** Pearson Education

**Format:** PDF, Kindle

**Category : **Engineering

**Languages : **en

**Pages : **0

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**Book Description:**
Normal 0 false false false For junior/senior undergraduates taking a one-semester probability and statistics course as applied to engineering, science, or computer science. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus.

**Author**: Bhisham C. Gupta

**Publisher:** John Wiley & Sons

**Format:** PDF, Docs

**Category : **Mathematics

**Languages : **en

**Pages : **896

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**Book Description:**
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

**Author**: William W. Hines

**Publisher:** John Wiley & Sons

**Format:** PDF

**Category : **Engineering

**Languages : **en

**Pages : **664

**View:** 5068

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**Book Description:**
* End-of-chapter summaries reinforce the main topics and goals of the chapter.

**Author**: Sheldon M. Ross

**Publisher:** Academic Press

**Format:** PDF, ePub

**Category : **Mathematics

**Languages : **en

**Pages : **746

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**Book Description:**
Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions. This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

**Author**: Ronald E. Walpole

**Publisher:** Macmillan College

**Format:** PDF, Mobi

**Category : **Mathematics

**Languages : **en

**Pages : **790

**View:** 7234

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**Book Description:**
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is well motivated by interesting, relevant applications. The new edition features many new, real-data based exercises and examples, an increased emphasis on the analysis of statistical output and greater use of graphical techniques and statistical methods in quality improvement.

**Author**: J. Susan Milton

**Publisher:** McGraw-Hill Europe

**Format:** PDF, Mobi

**Category : **Electronic data processing

**Languages : **en

**Pages : **450

**View:** 7706

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**Book Description:**
Helps students to understand statistical methods and reasoning as well as practice in using them. This book includes examples and exercises that are specially chosen for those looking for careers in the engineering and computing sciences. It is intended as a first course in probability and applied statistics for students.

**Author**: Anthony J. Hayter

**Publisher:** Brooks/Cole

**Format:** PDF, Kindle

**Category : **Business & Economics

**Languages : **en

**Pages : **962

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**Book Description:**
This introduction to probability and statistics for engineering and science students focuses on the fundamental concepts of statistical analysis, not on mathematical details or obscure techniques. The sequence of topics will fit almost all one-semester applied probability and statistics courses. The clear, thorough presentation of basic concepts is balanced by a wealth of applied examples and problems. Numerous in-text examples, problems, and real-life applications and illustrations demonstrate how a variety of computer-based statistical software packages (including Minitab) may be used in statistical analysis.

**Author**: Bilal M. Ayyub

**Publisher:** CRC Press

**Format:** PDF, Mobi

**Category : **Business & Economics

**Languages : **en

**Pages : **657

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**Book Description:**
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p

**Author**: Edward R. Dougherty

**Publisher:**
**Format:** PDF, ePub

**Category : **Probabilities

**Languages : **en

**Pages : **824

**View:** 128

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**Book Description:**

**Author**: Ronald E. Walpole

**Publisher:** Pearson Educacion

**Format:** PDF

**Category : **Mathematics

**Languages : **en

**Pages : **480

**View:** 1480

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**Book Description:**
Normal 0 false false false This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.

**Author**: Ronald E. Walpole

**Publisher:**
**Format:** PDF, Docs

**Category : **Engineering

**Languages : **en

**Pages : **816

**View:** 5003

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**Book Description:**
For junior/senior undergraduates taking probability and statistics as it applied to engineering, science or computer science. With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. Extensively updated coverage, new problem sets, and chapter-ending material extend the text's relevance to a new generation of engineers and scientists.