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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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Reliability and Survival Analysis

This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis;

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Statistical Reliability Engineering

Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system;

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Analysis of Survival Data with Dependent Censoring

in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course;

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Statistical Reliability Engineering

reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems;

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Flowgraph Models For Multistate Time-To-Event Data

processes without prior knowledge of stochastic processes----opening the door to interesting applications in survival analysis and reliability as;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;

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Statistical Methods for Reliability Data, Second Edition

Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data;

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Recent Advances in Reliability Theory

Presents thirty-one chapters that provide a survey of models and methods for reliability analysis and applications in science, engineering;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Reliability and Statistical Computing

maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep;

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Statistical Analysis of Reliability Data

. Reliability is not a physically measurable quantity like electrical resistance or elastic modulus and can only be assessed via a statistical analysis;

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Mathematical Methods in Survival Analysis, Reliability and Quality of Life

were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.;

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Statistical Analys Reliability Data

. Reliability is not a physically measurable quantity like electrical resistance or elastic modulus and can only be assessed via a statistical analysis;

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An Introduction to Generalized Linear Models

nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC;

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An Introduction to Generalized Linear Models

nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Statistical Modelling and Analysis Techniques

multivariate data analysis, data mining, inference for statistical models, sampling methods and reliability studies. An article dedicated to Professor;

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Modern Statistical And Mathematical Methods In Reliability

methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field;

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Statistical Methods for the Reliability of Repairable Systems

that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the;

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Lifetime Data Statistical Models & Metho

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;

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Functional Analysis Methods for Reliability Models

problems are explored. Functional Analysis Methods for Reliability Models is an excellent reference for graduate students and researchers;

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An Introduction to Generalized Linear Models

framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters;

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Accelerated Life Models

, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables;

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