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Titlebook: Statistics and Data Analysis for Engineers and Scientists; Tanvir Mustafy,Md. Tauhid Ur Rahman Textbook 2024 The Editor(s) (if applicable)

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发表于 2025-3-21 16:26:40 | 显示全部楼层 |阅读模式
书目名称Statistics and Data Analysis for Engineers and Scientists
编辑Tanvir Mustafy,Md. Tauhid Ur Rahman
视频video
概述Gives readers the advantage of having hands-on training in data analysis with actual challenges.Covers exercises that can be extensively adopted by engineering students.Is a useful guide to those both
丛书名称Transactions on Computer Systems and Networks
图书封面Titlebook: Statistics and Data Analysis for Engineers and Scientists;  Tanvir Mustafy,Md. Tauhid Ur Rahman Textbook 2024 The Editor(s) (if applicable)
描述.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
出版日期Textbook 2024
关键词Data-Analysis; Statistics for Engineers; Fundamentals of Microsoft Excel; Introduction to MATLAB; Mathem
版次1
doihttps://doi.org/10.1007/978-981-99-4661-7
isbn_softcover978-981-99-4663-1
isbn_ebook978-981-99-4661-7Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-21 22:50:21 | 显示全部楼层
Introduction,rld of statistics, offering a solid introduction to fundamental concepts and their practical applications in the realms of engineering and science. Starting with a broad overview, the chapter underscores the pivotal role that statistics plays in deciphering data and guiding informed decision-making.
发表于 2025-3-22 00:39:32 | 显示全部楼层
MATLAB,ol that serves as the linchpin of modern data analysis and scientific computation. This chapter offers readers a comprehensive initiation into MATLAB, encompassing fundamental concepts, essential commands, script and function files, arrays, and matrices. Readers will embark on a journey that equips
发表于 2025-3-22 05:18:31 | 显示全部楼层
Excel,tool for data analysis, manipulation, and visualization. This chapter is a comprehensive guide to harnessing Excel’s power for engineering and scientific applications. Beginning with an introduction to Excel, readers gain an understanding of its importance in modern data-driven disciplines. The fund
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发表于 2025-3-22 16:53:32 | 显示全部楼层
Textbook 2024rofessional 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, delive
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Introduction,he inherent variability in scientific data, the chapter underscores the need for robust statistical methodologies to navigate this variability effectively. The chapter then delves into data collection, with an emphasis on experimental design and the rationale behind random assignment of experimental
发表于 2025-3-23 05:33:41 | 显示全部楼层
MATLAB,ering and scientific disciplines. They navigate through basic commands, empowering them to interact with the software efficiently. Script and function files are introduced, providing the framework for organizing and automating tasks, enhancing the reproducibility of analyses. Arrays and matrices, fu
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