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Parameter Estimation in Reliability and Life Span Models

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified;

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Parameter Estimation in Reliability and Life Span Models

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified;

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Weibull Models

analysis, parameter estimation, model validation, and application; classifies the different models and their properties; intertwines theory and;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Modelling and Parameter Estimation of Dynamic Systems

networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed;

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Item Response Theory

chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Identification of Continuous-Time Systems

. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation, Allamaraju Subrahmanyam and Ganti Prasada Rao;

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Statistical Reliability Engineering

, accelerated testing, and Monte Carlo simulation Focuses on the estimation of various measures of system reliability based on the testing;

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Life Cycle Costing for Engineers

engineering structures, and energy systems. An in-depth look at cost estimation models and engineering reliability and maintainability topics such as;

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Life Cycle Costing for Engineers

engineering structures, and energy systems. An in-depth look at cost estimation models and engineering reliability and maintainability topics such as;

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Inference in Hidden Markov Models

range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states;

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Radiation Risk Estimation

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part;

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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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Mathematical Modeling in Chemical Engineering

, parameter estimation and numerical solution.;

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Parameter Estimation For Scientists And Engineers

. Therefore one purpose of this book is to show that statistical parameter estimation has much more to offer than least squares estimation alone;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Structural and System Reliability

systems, simulation methods, time- and space-variant reliability, and Bayesian parameter estimation and reliability updating. It also presents;

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Bayesian Networks for Reliability Engineering

methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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Random Signals

filtering; and statistical estimation - the measurement and analysis of random data to determine the structure and parameter values of probabilistic;

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Data Intensive Industrial Asset Management

, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy;

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