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Thermal Data for Natural and Synthetic Fuels

preparation. Discusses nonisothermal kinetic techniques, mathematical models, and other parameter estimation procedures that facilitate the;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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Applied Parameter Estimation for Chemical Engineers

This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most;

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Applied Parameter Estimation for Chemical Engineers

This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most;

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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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Thermal Physics: Kinetic Theory and Thermodynamics

THERMAL PHYSICS: Kinetic Theory and Thermodynamics is designed for undergraduate course in Thermal Physics and Thermodynamics. The book;

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Thermobacteriology in Food Processing

resistance determinations, and death of bacteria subjected to moist heat. The manuscript tackles thermal resistance of bacteria and thermal process;

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Food Preservation Process Design

The preservation processes for foods have evolved over several centuries, but recent attention to non-thermal technologies suggests that a;

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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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Identification of Continuous-Time Systems

secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation;

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Item Response Theory

used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new;

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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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Novel Thermal and Non-Thermal Technologies for Fluid Foods

expertise has been devoted to the processing of safe and wholesome foods. Non-thermal technologies have been developed as an alternative to thermal;

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Thermal Treatments of Canned Foods

failures. Canned foods are usually considered to offer a particularly long shelf-life and durability. An understanding of their properties and;

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Weibull Models

application; and focuses on model identification prior to model parameter estimation.;

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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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Kinetic Modeling of Reactions in Foods

quality expert, Kinetic Modeling of Reactions in Foods demonstrates how to effectively capture these changes in an integrative fashion using;

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Digital Processing of Random Signals

discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and;

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Classical and Quantum Thermal Physics

Covering essential areas of thermal physics, this book includes kinetic theory, classical thermodynamics, and quantum thermodynamics.;

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Maximum Likelihood Estimation with Stata, Fourth Edition

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum;

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Statistical Estimation for Truncated Exponential Families

exponential family if the truncation parameter is known. The emphasis is on presenting new results on the maximum likelihood estimation of a natural;

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