Parameter Estimation in Reliability and Life Span Models
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€58.99
A01=A Clifford Cohen
A01=Betty Jones Whitten
advanced statistical methods
Asymptotic Variance
Asymptotic Variance Covariance Matrix
Author_A Clifford Cohen
Author_Betty Jones Whitten
Basic Concepts
Category=PBW
censored data analysis
Cumulative Distribution Function
Cumulative Hazard Function
Cumulative Hazard Plot
Digamma Function
Entire Parameter Space
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fourth Standard Moment
Gamma Distribution
Generalized Gamma Distribution
Hazard Function
IG
IG Distribution
Instantaneous Failure Rates
lifetime data estimation techniques
Loglikelihood Function
Lognormal
Lognormal Distribution
Maximum Likelihood Estimators
Modified Maximum Likelihood Estimators
Modified Moment Estimators
Moment Estimators
probability distributions
Rayleigh Distribution
Regularity Problems
reliability engineering
Smallest Sample Observation
statistical inference
survival modeling
Truncated Samples
Weibull
Weibull Distribution
Product details
- ISBN 9780367403348
- Weight: 553g
- Dimensions: 152 x 229mm
- Publication Date: 27 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily. Furnishing numerous practical examples, this resource serves as a handy reference for statisticians, biometricians, medical researchers, operations research and quality control practitioners, reliability and design engineers, and all others involved in the analysis of sample data from skewed distributions, as well as a text for senior undergraduate and graduate students in statistics, quality control, operations research, mathematics and biometry courses.
A. Clifford Cohen is Professor Emeritus of Statistics at the University of Georgia in Athens, where he has been affiliated since 1947. An editorial board member of the Journal of Quality Technology, Dr. Cohen has published more than 60 research papers and technical reports on the subjects of estimation from truncated and censored samples, and modified estimators. He is a Fellow and Founding Member of the American Society for Quality Control, Founding Member of the Operations Research Society of America, Fellow of the American Statistical Association and American Association for the Advancement of Science, and member of the Institute of Mathematical Statistics, Mathematical Association of America, International Statistical Institute, and Sigma Xi. He is certified by the American Society for Quality Control as both a quality engineer and a reliability engineer. Dr. Cohen received the B.S. (1932) and M.S. (1933) degrees in electrical engineering from Auburn University in Alabama, and M.A. (1940) and Ph.D. (1941) degrees in mathematics from the University of Michigan in Ann Arbor. Betty Jones Whitten is Associate Professor in the Department of Management Sciences at the University of Georgia in Athens. She has coedited one book, and authored or coauthored more than 30 articles, proceedings papers and technical reports on her research interests in estimation procedures in life testing distributions, modified moment estimation for the three-parameter gamma, inverse Gaussian, lognormal and Weibull distributions, and other related topics. She is the recipient of the first Josiah Meigs Award for Excellence in Teaching and Pro Optime Perdocendo Honoratus Award from the University of Georgia. Dr. Whitten is treasurer of the Decision Sciences Institute (national office), president of the Southeastern Region of the Decision Sciences Institute, and a member of the American Statistical Association, Sigma Xi, Phi Kappa Phi, and Beta Gamma Sigma. She received the B.S. (1962) and M.S. (1963) degrees in mathematics from the University of Illinois in Urbana, and Ph.D. (1972) degree in statistics from the University of Georgia.
