Engineering Data Analysis with MATLAB:
This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples a...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
Taylor & Francis
2024
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| Schlagworte: | |
| Zusammenfassung: | This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers |
| Beschreibung: | 1. Getting Started. 2. Data Types and Visualization. 3. Random Variable and Probability Distribution. 4. Discrete Probability Distribution. 5. Continuous Probability Distribution. 6. Descriptive Statistics. 7. Inferential Statistics. 8. Parametric Tests. 9. Non-Parametric Testing. 10. Correlation. 11. Regression. |
| Beschreibung: | 902 Seiten 453 gr |
| ISBN: | 9781032507712 |
Internformat
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| 520 | |a This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers | ||
| 650 | 4 | |a bicssc / Maths for engineers | |
| 650 | 4 | |a bicssc / Mathematical & statistical software | |
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| 700 | 1 | |a Rahman, Tauhid |e Sonstige |4 oth | |
| 700 | 1 | |a Siddiqui, Nafisa |e Sonstige |4 oth | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035486643 | |
Datensatz im Suchindex
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| physical | 902 Seiten 453 gr |
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| spelling | Mustafy, Tanvir Verfasser aut Engineering Data Analysis with MATLAB Boca Raton Taylor & Francis 2024 902 Seiten 453 gr txt rdacontent n rdamedia nc rdacarrier 1. Getting Started. 2. Data Types and Visualization. 3. Random Variable and Probability Distribution. 4. Discrete Probability Distribution. 5. Continuous Probability Distribution. 6. Descriptive Statistics. 7. Inferential Statistics. 8. Parametric Tests. 9. Non-Parametric Testing. 10. Correlation. 11. Regression. This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics. The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers bicssc / Maths for engineers bicssc / Mathematical & statistical software bicssc / Probability & statistics bicssc / Mechanical engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / MATHEMATICS / Applied bisacsh / TECHNOLOGY & ENGINEERING / Civil / General Rahman, Tauhid Sonstige oth Siddiqui, Nafisa Sonstige oth |
| spellingShingle | Mustafy, Tanvir Engineering Data Analysis with MATLAB bicssc / Maths for engineers bicssc / Mathematical & statistical software bicssc / Probability & statistics bicssc / Mechanical engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / MATHEMATICS / Applied bisacsh / TECHNOLOGY & ENGINEERING / Civil / General |
| title | Engineering Data Analysis with MATLAB |
| title_auth | Engineering Data Analysis with MATLAB |
| title_exact_search | Engineering Data Analysis with MATLAB |
| title_full | Engineering Data Analysis with MATLAB |
| title_fullStr | Engineering Data Analysis with MATLAB |
| title_full_unstemmed | Engineering Data Analysis with MATLAB |
| title_short | Engineering Data Analysis with MATLAB |
| title_sort | engineering data analysis with matlab |
| topic | bicssc / Maths for engineers bicssc / Mathematical & statistical software bicssc / Probability & statistics bicssc / Mechanical engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / MATHEMATICS / Applied bisacsh / TECHNOLOGY & ENGINEERING / Civil / General |
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