Statistics and Data Analysis for Engineers and Scientists
Language: English
Published by Springer Nature Singapore, 2024
Series: Book 13 of 16 - Transactions on Computer Systems and Networks
- Hardcover
- New

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Condition: New
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gives readers the advantage of having hands-on training in data analysis with actual challengesCovers exercises that can be extensively adopted by engineering studentsIs a useful guide to those both in academia and industryDr. .
Seller Inventory # 892114903
- Title
- Statistics and Data Analysis for Engineers and Scientists
- Author
- Tanvir Mustafy|Md. Tauhid Ur Rahman
- Publisher
- Springer Nature Singapore
- Publication year
- 2024
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9819946603
- ISBN 13
- 9789819946600
- Series
- Book 13 of 16: Transactions on Computer Systems and Networks
This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs―Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.
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About the Author
"About the title" may belong to another edition of this title.
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