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...
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2024
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| Edition: | First edition |
| Subjects: | |
| Summary: | 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 |
| Item Description: | 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. |
| Physical Description: | xii, 890 Seiten Illustrationen, Diagramme 453 gr |
| ISBN: | 9781032506586 9781032507712 |
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| id | DE-604.BV050150312 |
| illustrated | Illustrated |
| indexdate | 2025-03-31T18:09:33Z |
| institution | BVB |
| isbn | 9781032506586 9781032507712 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035486643 |
| oclc_num | 1434113791 |
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| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xii, 890 Seiten Illustrationen, Diagramme 453 gr |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| spelling | Mustafy, Tanvir Verfasser (DE-588)1351695428 aut Engineering data analysis with MATLAB Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2024 xii, 890 Seiten Illustrationen, Diagramme 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 Verfasser aut Siddiqui, Nafisa Verfasser aut Erscheint auch als Online-Ausgabe 978-1-003-39958-2 |
| spellingShingle | Mustafy, Tanvir Rahman, Tauhid Siddiqui, Nafisa 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 Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui |
| title_fullStr | Engineering data analysis with MATLAB Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui |
| title_full_unstemmed | Engineering data analysis with MATLAB Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui |
| 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 |
| topic_facet | 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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