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Reliability and Survival Analysis

ISBN-13: 9789811397752 / Angielski / Twarda / 2019 / 252 str.

MD Rezaul Karim; M. Ataharul Islam
Reliability and Survival Analysis MD Rezaul Karim M. Ataharul Islam 9789811397752 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Reliability and Survival Analysis

ISBN-13: 9789811397752 / Angielski / Twarda / 2019 / 252 str.

MD Rezaul Karim; M. Ataharul Islam
cena 484,18
(netto: 461,12 VAT:  5%)

Najniższa cena z 30 dni: 462,63
Termin realizacji zamówienia:
ok. 22 dni roboczych.

Darmowa dostawa!
Kategorie:
Nauka, Medycyna
Kategorie BISAC:
Medical > Biostatistics
Business & Economics > Statystyka gospodarcza
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9789811397752
Rok wydania:
2019
Wydanie:
2019
Ilość stron:
252
Waga:
0.55 kg
Wymiary:
23.39 x 15.6 x 1.6
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Chapter 1: Reliability and Survival Analysis: Concepts and Definitions.- Chapter 2: Mean Lifetime and Residual Lifetime.- Chapter 3: Probability Distributions of Lifetimes (Uncensored).- Chapter 4: Censoring Mechanisms.- Chapter 5: Probability Distributions of Lifetimes under Censoring Schemes.- Chapter 6: Nonparametric Methods.- Chapter 7: Parametric Methods.- Chapter 8: Regression Models.- Chapter 9: Generalized Linear Models for Failure Times.- Chapter 10: Components and Systems.- Chapter 11: Reliability Functions and Ageing Properties.- Chapter 12: Models for Production System.- Chapter 13: Stochastic Models.- Chapter 14: Further Topics.- References.- Appendix - A: Statistical Tables.- Appendix - B: Data Sets.- Appendix - C: R-Packages and Programming Codes.- Index.

Md. Rezaul Karim obtained his Bachelor of Science and Master of Science degrees in Statistics from the University of Rajshahi, Bangladesh, and his Doctor of Engineering degree from the University of Electro-Communications, Tokyo, Japan. For the last 24 years, he has been working at the Department of Statistics at the University of Rajshahi, Bangladesh, where he is currently a Professor. He also served as a visiting faculty at the Luleå University of Technology, Sweden. His research interests include reliability analysis, warranty claim analysis, lifetime data analysis, industrial statistics, biostatistics, and statistical computing. He has over 30 publications in statistics, reliability, warranty analysis, and related areas, and has presented about 40 papers at numerous conferences and workshops in eight countries. He is a coauthor of the book Warranty Data Collection and Analysis (published by Springer in 2011) and has contributed chapters to several books. He serves on the editorial boards of several journals including Communications in Statistics, Journal of Statistical Research, International Journal of Statistical Sciences, Journal of Scientific Research, and Rajshahi University Journal of Science and Engineering. Further, he is a member of five professional associations.

M. Ataharul Islam is currently the QM Husain Professor at the Institute of Statistical Research, University of Dhaka, Bangladesh. He was formerly a Professor of Statistics at the University of Dhaka, Universiti Sains Malaysia, King Saud University, and the East West University of Dhaka. He served as a visiting faculty at the University of Hawaii and University of Pennsylvania. He is a recipient of the Pauline Stitt Award, Western North American Region (WNAR) Biometric Society Award for content and writing, East West Center Honor Award, University Grants Commission Award for book and research, and the Ibrahim Memorial Gold Medal for research. He has published more than 100 papers in international journals, mainly on longitudinal and repeated measures data including multistate and multistage hazard models, statistical modeling, Markov models with covariate dependence, generalized linear models, and conditional and joint models for correlated outcomes. He has authored books on Foundations of Biostatistics, Analysis of Repeated Measures Data and Markov Models, has coedited one book, and contributed chapters to several others.

 


This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences.

 

 




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