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    Quality Management and Operations Research

    Quality Management and Operations Research

    - Understanding and Implementing the Nonparametric Bayesian Approach

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    Bog E-bog
    • Format
    • Bog, hardback
    • Engelsk

    Beskrivelse

    Offering a step-by-step approach for applying the Nonparametric Method with the Bayesian Approach to model complex relationships occurring in Reliability Engineering, Quality Management, and Operations Research, it also discusses survival and censored data, accelerated lifetime tests (issues in reliability data analysis), and R codes. This book uses the Nonparametric Bayesian approach in the fields of quality management and operations research. It presents a step-by-step approach for understanding and implementing these models, as well as includes R codes which can be used in any dataset. The book helps the readers to use statistical models in studying complex concepts and applying them to Operations Research, Industrial Engineering, Manufacturing Engineering, Computer Science, Quality and Reliability, Maintenance Planning and Operations Management.This book helps researchers, analysts, investigators, designers, producers, industrialists, entrepreneurs, and financial market decision makers, with finding the lifetime model of products, and for crucial decision-making in other markets.

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    Detaljer
    • SprogEngelsk
    • Sidetal152
    • Udgivelsesdato20-04-2021
    • ISBN139780367744908
    • Forlag Taylor & Francis Ltd
    • FormatHardback
    Størrelse og vægt
  • Vægt335 g
    • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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    Operations research Distribution function R Codes Mixture model Parametric Markov chain CRP Dirichlet process Censored Data Quality management Prior distribution Posterior Distribution Accelerated lifetime tests Base Distribution Complete Failure Time Cumulative Distribution Function Dirichlet Process Mixture Model Conditional Posterior Distribution Gibbs Sampling Method Dirichlet Distribution Nonparametric Bayesian Method Nonparametric Bayesian approach Nonparametric Bayesian Nonparametric Bayesian Analysis Posterior PDF Prior Density Function Inverse Linear Model Precision parameter Lomax Distribution Transition Probability Matrix Normal Stress Level Posterior Density Function

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