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Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance

Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance
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Dewey Class 519.5
Title Advances in Degradation Modeling ([Ebook]) : Applications to Reliability, Survival Analysis, and Finance / edited by M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol.
Author Nikulin, M. S. (Mikhail Stepanovich)
Added Personal Name Limnios, Nikolaos
Balakrishnan, N.
Kahle, Waltraud
Huber-Carol, Catherine
Other name(s) SpringerLink (Online service)
Publication Boston, MA : Birkhäuser , 2010.
Physical Details XXXVIII, 416 pages : 98 illus. : online resource.
Series Statistics for Industry and Technology
ISBN 9780817649241
Summary Note This volume is dedicated to William Q. Meeker on the occasion of his sixtieth birthdayâis a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance. Specific topics covered include: * Accelerated testing and inference * Step-stress testing and inference * Nonparametric inference * Model validity in accelerated testing * The point process approach * Bootstrap methods in degradation analysis * Exact inferential methods in reliability * Dynamic perturbed systems * Degradation models in statistics Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.:
Contents note Preface -- William Q. Meeker-Career and Accomplishments -- List of Contributors -- List of Tables -- List of Figures -- Part I. Review, Tutorials, and Perspective -- Trends in the Statistical Assessment of Reliability -- Degradation Processes: An Overview -- Defect Initiation, Growth, and FailureâA General Statistical Model and Data Analyses -- Properties of Lifetime Estimators Based on Warranty Data Consisting only of Failures -- Part II. Shock Models -- Shock Models -- Parametric Shock Models -- Poisson Approximation of Processes with Locally Independent Increments and Semi-Markov SwitchingâToward Application in Reliability -- On Some Shock Models of Degradation -- Part III. Degradation Models -- The Wiener Process as a Degradation Model: Modeling and Parameter Estimation -- On the General Degradation Path Model: Review and Simulation -- A Closer Look at Degradation Models: Classical and Bayesian Approaches -- Optimal Prophylaxis Policy Under Non-Monotone Degradation -- Deterioration Processes With Increasing Thresholds -- Failure Time Models Based on Degradation Processes -- Degradation and Fuzzy Information -- A New Perspective on Damage Accumulation, Marker Processes, and Weibullâs Distribution -- Part IV. Reliability Estimation and ALT -- Reliability Estimation of Mechanical Components Using Accelerated Life Testing Models -- Reliability Estimation from Fallure-Degradation Data with Covariates -- Asymptotic Properties of Redundant Systems Reliability Estimators -- An Approach to System Reliability Demonstration Based to Accelerated Test Results on Components -- Part V. Survival Function Estimation -- Robust Versus Non Parametric Approaches and Survival Data Analysis -- Modeling Recurrent Events for Repairable Systems Under Worse than Old Assumption -- Survival Models for Step-Stress Experiments with Lagged Effects -- Estimation of Density on Censored Data -- Part VI. Competing Risk and Chaotic Systems -- Toward a Test for Departure of a Trajectory From a Neighborhood of a Chaotic System -- Probability Plotting with Independent Competing Risks -- Index.
System details note Online access is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-0-8176-4924-1
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