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portada Statistical Modeling and Robust Inference for One-Shot Devices
Type
Physical Book
Publisher
Author
Language
English
Pages
220
Format
Paperback
ISBN13
9780443141539

Statistical Modeling and Robust Inference for One-Shot Devices

Narayanaswamy Balakrishnan; Elena Castilla (Author) · Academic Press · Paperback

Statistical Modeling and Robust Inference for One-Shot Devices - Narayanaswamy Balakrishnan; Elena Castilla

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Synopsis "Statistical Modeling and Robust Inference for One-Shot Devices"

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.

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