• Contact

  • Newsletter

  • About us

  • Delivery options

  • News

  • 0
    Statistical Modeling and Robust Inference for One-shot Devices

    Statistical Modeling and Robust Inference for One-shot Devices by Balakrishnan, Narayanaswamy; Castilla, Elena;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 160.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        67 872 Ft (64 640 Ft + 5% VAT)
      • Discount 10% (cc. 6 787 Ft off)
      • Discounted price 61 085 Ft (58 176 Ft + 5% VAT)

    67 872 Ft

    db

    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering. These devices, which are destroyed or must be rebuilt after use, are a particular case of extreme censoring, which makes the problem of estimating their reliability and lifetime challenging. However, classical statistical and inferential methods do not consider the issue of robustness.

    Statistical Modeling and Robust Interference for One-shot Devices offers a comprehensive investigation of robust techniques of one-shot devices under accelerated-life tests. With numerous examples and case studies in which the proposed methods are applied, this book includes detailed R codes in selected chapters to help readers implement their own codes and use them in the proposed examples and in their own research on one-shot devicetesting data. Researchers, mathematicians, engineers, and students working on acceleratedlife testing data analysis and robust methodologies will find this to be a welcome resource.




    • Offers an indepth review of statistical methods for the testing and analysis of one-shot devices
    • Includes numerous examples and case studies in which the proposed methods are applied
    • Introduces detailed R codes in selected chapters to help readers implement their own codes, use them in the proposed examples and in their own research on one-shot device-testing data

    More

    Table of Contents:

    1. Introduction
    2. Inference for One-Shot Devices with a Single Failure mode
    3. Divergence Measures and their Application to One-Shot Devices with a Single Failure mode
    4. Robust Inference under the Exponential Distribution
    5. Robust Inference under the Gamma Distribution
    6. Robust Inference under the Weibull Distribution
    7. Robust Inference under the Lognormal distribution
    8. Robust Inference under the Proportional Hazards Model
    9. Inference for One-Shot Devices with Multiple Failure Modes
    10. Robust Inference under the Exponential Distribution and Competing Risks
    11. Robust Inference under the Weibull Distribution and Competing Risks
    12. Robust Inference under Cyclic Accelerated Life Tests
    13. Summary and Future Directions
    Appendix A Derivation of the Influence Function of the Weighted Minimum DPD Estimators

    More