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Autor(en): 
  • Brani Vidakovic
  • Engineering Biostatistics: An Introduction using MATLAB and WinBUGS 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2017  
    Genre:  Schulbücher 
     
    Biomedical engineering / Biomedizintechnik / Biostatistics / Biostatistik / Computational Bioengineering / Engineering Statistics / Rechnergestütztes Bioengineering / Statistics / Statistik / Statistik in den Ingenieurwissenschaften
    ISBN:  9781119168966 
    EAN-Code: 
    9781119168966 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley Series in Probability and Statistics  
    Dimensionen:  H 253 mm / B 181 mm / D 38 mm 
    Gewicht:  1636 gr 
    Seiten:  992 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Provides a one-stop resource for engineers learning biostatistics using MATLAB(r) and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLAB(r) for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references. Engineering Biostatistics: An Introduction using MATLAB(r) and WinBUGS also includes: * parallel coverage of classical and Bayesian approaches, where appropriate * substantial coverage of Bayesian approaches to statistical inference * material that has been classroom-tested in an introductory statistics course in bioengineering over several years * exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples Engineering Biostatistics: An Introduction using MATLAB(r) and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

      
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