Muutke küpsiste eelistusi

E-raamat: Engineering Data Analysis with MATLAB(R)

(Military Inst. of Science and Tech, BD), (Military Inst. of Science and Tech, BD), (Military Inst. of Science and Tech, BD)
  • Formaat: 902 pages
  • Ilmumisaeg: 30-Dec-2024
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9781040016077
  • Formaat - PDF+DRM
  • Hind: 93,59 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: 902 pages
  • Ilmumisaeg: 30-Dec-2024
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9781040016077

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.

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.



This uses MATLAB® for data analysis and statistics, offering a broad review of computational data analysis, in particular algebra, trigonometry, regression modeling, correlation, and graphical representation of results, covering both basic and more complex material, with a large number of worked examples and practice exercises.

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.

Dr. Tanvir Mustafy is a distinguished figure in the field of structural engineering, renowned for his expertise in complex finite element modeling at the micro level of structures, injury biomechanics, machine learning, and analytic mechanics. With a rich academic and research background, Dr. Mustafy has made significant contributions to the advancement of structural engineering. He holds a master of science (MSc) degree in structural engineering from the University of Alberta, Canada, and a bachelor of science (BSc) degree from the Bangladesh University of Engineering and Technology (BUET) in Dhaka, Bangladesh. Throughout his career, Dr. Tanvir Mustafy has consistently demonstrated a passion for research and a commitment to pushing the boundaries of structural engineering. His work continues to inspire and shape the future of the field, making him a respected authority in the academic and scientific community.

Dr. Tauhid Rahman earned his PhD in environmental engineering from Tohoku University, Japan, in 2009. He did his MSc in environmental engineering, land, and water engineering from KTH, Sweden, and his BSc in civil engineering from Bangladesh University of Engineering and Technology, Bangladesh. He is currently a professor in the CE Department of MIST. His research interests are water quality modeling, land use change detection, climate change, water insecurity, micro-climate effects, etc.

Nafisa Siddiqui is an accomplished educator with a bachelor of science in mathematics from the University of Texas at Austin, USA. She has served as a mathematics teaching assistant at Texas A&M University Kingsville and the University of Texas at Tyler, demonstrating her dedication to facilitating mathematical learning. Nafisas commitment to education and her strong academic background make her a valuable asset in the field of mathematics.