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Hybrid Censoring Know-How: Designs and Implementations

by Narayanaswamy Balakrishnan

A focused guide to hybrid censoring in lifetime-data analysis

Regular price $174.43 USD
Regular price $174.43 USD Sale price $174.43 USD

Hardcover New English

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AlbakiReads Editorial

A focused guide to hybrid censoring in lifetime-data analysis

Centered on hybrid censoring, this mathematics volume addresses a specialized area of statistical inference for data that are only partially observed. It places censored data in both theoretical and applied contexts, drawing particular attention to life-testing experiments, where lifetime observations commonly take these forms. The book goes beyond outlining censoring schemes to examine hybrid censoring methodologies, underlying ideas, and inferential tools. Its applied scope extends across medicine, biology, public health, epidemiology, engineering, economics, and demography, framing the subject as a practical component of analyzing lifetime data as well as a statistical topic in its own right.

Good fit for readers who enjoy

  • Statisticians studying censoring methodology and statistical inference
  • Researchers working with life-testing or lifetime data
  • Applied analysts in health, engineering, economics, or demography

Themes

Hybrid censoringCensored dataLife-testing experimentsStatistical inferenceLifetime data analysis

Based on publisher information and book metadata.

Book overview

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

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