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:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2024
|
| Ausgabe: | First edition |
| 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: | xii, 890 Seiten Illustrationen, Diagramme 453 gr |
| ISBN: | 9781032506586 9781032507712 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV050150312 | ||
| 003 | DE-604 | ||
| 005 | 20250310 | ||
| 007 | t| | ||
| 008 | 250203s2024 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781032506586 |c hbk |9 978-1-032-50658-6 | ||
| 020 | |a 9781032507712 |c pbk |9 978-1-03-250771-2 | ||
| 024 | 3 | |a 9781032507712 | |
| 035 | |a (OCoLC)1434113791 | ||
| 035 | |a (DE-599)BVBBV050150312 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 100 | 1 | |a Mustafy, Tanvir |e Verfasser |0 (DE-588)1351695428 |4 aut | |
| 245 | 1 | 0 | |a Engineering data analysis with MATLAB |c Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2024 | |
| 300 | |a xii, 890 Seiten |b Illustrationen, Diagramme |c 453 gr | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a 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. | ||
| 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 | |
| 650 | 4 | |a bicssc / Probability & statistics | |
| 650 | 4 | |a bicssc / Mechanical engineering | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Mechanical | |
| 650 | 4 | |a bisacsh / MATHEMATICS / Applied | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Civil / General | |
| 700 | 1 | |a Rahman, Tauhid |e Verfasser |4 aut | |
| 700 | 1 | |a Siddiqui, Nafisa |e Verfasser |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-003-39958-2 |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035486643 | |
Datensatz im Suchindex
| _version_ | 1828134136811880448 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Mustafy, Tanvir Rahman, Tauhid Siddiqui, Nafisa |
| author_GND | (DE-588)1351695428 |
| author_facet | Mustafy, Tanvir Rahman, Tauhid Siddiqui, Nafisa |
| author_role | aut aut aut |
| author_sort | Mustafy, Tanvir |
| author_variant | t m tm t r tr n s ns |
| building | Verbundindex |
| bvnumber | BV050150312 |
| ctrlnum | (OCoLC)1434113791 (DE-599)BVBBV050150312 |
| edition | First edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV050150312</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250310</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">250203s2024 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781032506586</subfield><subfield code="c">hbk</subfield><subfield code="9">978-1-032-50658-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781032507712</subfield><subfield code="c">pbk</subfield><subfield code="9">978-1-03-250771-2</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781032507712</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1434113791</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050150312</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mustafy, Tanvir</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1351695428</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Engineering data analysis with MATLAB</subfield><subfield code="c">Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press, Taylor & Francis Group</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xii, 890 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">453 gr</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">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. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Maths for engineers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Mathematical & statistical software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Probability & statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Mechanical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Mechanical</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / MATHEMATICS / Applied</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Civil / General</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rahman, Tauhid</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Siddiqui, Nafisa</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-003-39958-2</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035486643</subfield></datafield></record></collection> |
| 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 |
| open_access_boolean | |
| 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 |
| work_keys_str_mv | AT mustafytanvir engineeringdataanalysiswithmatlab AT rahmantauhid engineeringdataanalysiswithmatlab AT siddiquinafisa engineeringdataanalysiswithmatlab |