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Autor(en): 
  • Ahmed Soliman
  • Ahmed Hamed Abd Ellah
  • Essam El-Sayed
  • Statistical Inference from Modified Weibull Distribution: Bayesian and Non Bayesian Approches 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  November 2013  
    Genre:  Schulbücher 
    ISBN:  9783659492853 
    EAN-Code: 
    9783659492853 
    Verlag:  LAP Lambert Academic Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 220 mm / B 150 mm / D 9 mm 
    Gewicht:  227 gr 
    Seiten:  140 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Models with bathtub-shaped failure rate function are useful in reliability analysis and particularly in reliability related decision making and cost analysis. A modified Weibull distribution (MWD) was recently proposed by Lai et al.(2003) as a generalization of the two-parameter Weibull distribution. This distribution has both the two-parameter Weibull and the type I extreme value distributions as special cases. This lifetime distribution is able to model data with bathtub-shaped hazard rate, which is an important feature for engineering reliability analysis. Parameter estimation is crucial for the model to be built and is often a difficult problem, especially for distributions with more than 2 parameters. In this book, maximum likelihood estimation (MLE) is studied in detail. Several techniques regarding this estimation method are proposed to simplify computation. Another estimation method called Bayesian is used to estimate the parameters as well as some life parameters (reliability and hazard functions). We consider estimation of the modified Weibull parameters based on progressively Type II censored data, an adapptive progressively Type II censored data and upper record values.

      



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