Hybrid Censoring Know-How (ePub)

Name: Hybrid Censoring Know-How
Brand: Elsevier Science & Techn.
SKU: 146675442
Price: 141.90 EUR
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Designs and Implementations (Sprache: Englisch)

Autoren: Narayanaswamy Balakrishnan , Erhard Cramer , Debasis Kundu

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Hybrid Censoring Know-How, Narayanaswamy Balakrishnan, Erhard Cramer, Debasis Kundu

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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...

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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.

Presents many numerical examples to adequately illustrate all inferential methods discussed
Mentions some open problems and possible directions for future work
Reviews developments on Type-II and Type-I HCS, including the most recent research and trends
Explains why hybrid censored sampling is important in practice
Provides details about the use of HCS under different settings and on various designs of HCS
Describes the use of hybrid censoring in other reliability applications such as reliability sampling plans, step-stress testing, and quality control

Autoren-Porträt von Narayanaswamy Balakrishnan, Erhard Cramer, Debasis Kundu

Narayanaswamy Balakrishnan is a distinguished university professor in the Department of Mathematics and Statistics at McMaster University Hamilton, Ontario, Canada. He is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with over 24 authored books, four authored handbooks, and 30 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis. He was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. In 2016, he was awarded an Honorary Doctorate from The National and Kapodistrian University of Athens, Athens, Greece. In 2021, he was elected as a Fellow of the Royal Society of Canada.

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Bibliographische Angaben

Autoren: Narayanaswamy Balakrishnan , Erhard Cramer , Debasis Kundu
2023, 406 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0123983908
ISBN-13: 9780123983909
Erscheinungsdatum: 06.01.2023

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Dateiformat: ePub
Größe: 13 MB
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