Statistical Inference For Engineers And Data Scientists

Author : Pierre Moulin
Publisher : Cambridge University Press
ISBN 13 : 1107185920
Total Pages : 423 pages
Book Rating : 4.20/5 ( download)

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Download or read book Statistical Inference for Engineers and Data Scientists written by Pierre Moulin and published by Cambridge University Press. This book was released on 2019 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mathematically accessible textbook introducing all the tools needed to address modern inference problems in engineering and data science.

Author : Alan Agresti
Publisher : CRC Press
ISBN 13 : 1000462919
Total Pages : 486 pages
Book Rating : 4.13/5 ( download)

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Download or read book Foundations of Statistics for Data Scientists written by Alan Agresti and published by CRC Press. This book was released on 2021-11-22 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.

Author : Michael Clifford
Publisher : CRC Press
ISBN 13 : 9781000763515
Total Pages : 0 pages
Book Rating : 4.1X/5 ( download)

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Download or read book Introduction to Mechanical Engineering written by Michael Clifford and published by CRC Press. This book was released on 2022-12-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated throughout for the second edition, Introduction to Mechanical Engineering: Part 1 continues to be the essential text for all first-year undergraduate students, alongside those studying for foundation degrees and HNDs. Written by an experienced team of lecturers at the internationally renowned University of Nottingham, this book provides a comprehensive grounding in the following core engineering topics: thermodynamics, fluid mechanics, solid mechanics, dynamics, electrical and electronic systems and material science. It includes questions and answers for instructors and for self-guided learning. As well as mechanical engineers, this book is highly relevant to civil, automotive and aerospace engineering students.

Author : Ronald E. Walpole
Publisher :
ISBN 13 : 9780130952462
Total Pages : 739 pages
Book Rating : 4.6X/5 ( download)

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Download or read book Probability and Statistics for Engineers and Scientists written by Ronald E. Walpole and published by . This book was released on 1998 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recognizing the importance of the computer in data analysis, SAS and Minitab printouts have been added to this work. Exercises and examples have been updated with real data.

Author : Ronald E. Walpole
Publisher :
ISBN 13 : 9781292023922
Total Pages : 853 pages
Book Rating : 4.29/5 ( download)

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Download or read book Probability and Statistics for Engineers and Scientists written by Ronald E. Walpole and published by . This book was released on 2013-07-23 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."

Author : Anthony J. Hayter
Publisher : Thomson Brooks/Cole
ISBN 13 : 9781133112143
Total Pages : 826 pages
Book Rating : 4.45/5 ( download)

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Download or read book Probability and Statistics for Engineers and Scientists written by Anthony J. Hayter and published by Thomson Brooks/Cole. This book was released on 2012 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Ronald E. Walpole
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 856 pages
Book Rating : 4.10/5 ( download)

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Download or read book Probability & Statistics for Engineers & Scientists written by Ronald E. Walpole and published by Prentice Hall. This book was released on 2007 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text provides a rigorous introduction to basic probability theory and statistical inference, illustrated by relevant applications. It assumes a background in calculus and offers a balance of theory and methodology

Author : Chester Ismay
Publisher : CRC Press
ISBN 13 : 1000763463
Total Pages : 461 pages
Book Rating : 4.61/5 ( download)

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Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Author : Robert M. Bethea
Publisher : Routledge
ISBN 13 : 1351414372
Total Pages : 672 pages
Book Rating : 4.71/5 ( download)

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Download or read book Statistical Methods for Engineers and Scientists written by Robert M. Bethea and published by Routledge. This book was released on 2018-04-20 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.

Author : Ronald E. Walpole
Publisher : Pearson Higher Ed
ISBN 13 : 1292037032
Total Pages : 858 pages
Book Rating : 4.35/5 ( download)

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Download or read book Probability and Statistics for Engineers and Scientists: Pearson New International Edition written by Ronald E. Walpole and published by Pearson Higher Ed. This book was released on 2013-08-29 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.