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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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Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes;

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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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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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Analysis of Failure and Survival Data

Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;

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Analysis of Failure and Survival Data

Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;

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Reliability and Risk

about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: * Providing a broad;

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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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Mathematical And Statistical Methods In Reliability

theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival;

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Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

includes much material from reliability theory in engineering and survival analysis in medicine.;

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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 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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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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Reliability Analysis with Minitab

statistical software. Reliability Analysis with Minitab (R) outlines statistical concepts and applications, explains the theory of probability;

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Reliability Analysis with Minitab

statistical software. Reliability Analysis with Minitab (R) outlines statistical concepts and applications, explains the theory of probability;

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Introduction to System Reliability Theory

in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game;

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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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Reliability-Based Analysis and Design of Structures and Infrastructure

design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and;

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What Every Engineer Should Know about Reliability and Risk Analysis

Examining reliability, availability, and risk analysis and reviewing in probability and statistics essential to understanding reliability;

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What Every Engineer Should Know about Reliability and Risk Analysis

Examining reliability, availability, and risk analysis and reviewing in probability and statistics essential to understanding reliability;

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Next Generation and Advanced Network Reliability Analysis

, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can;

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Offshore Structural Engineering

structures with an emphasis on the safety and reliability of offshore facilities during analysis, design, inspection, and planning. Since risk;

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Computational Methods For Reliability And Risk Analysis

This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis;

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Statistical and Mathematical Sciences and Their Applications

techniques for analysis of water quality parameters, Bayesian estimation techniques for lifetime distributions, reliability and life testing;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Subjective Probability Models for Lifetimes

Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist;

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Subjective Probability Models for Lifetimes

Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist;

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