Effect of regression approach in the estimation of nonlinear model parameters on process design and simulation: Applications to kinetic and thermodynamic models

Computers and Chemical Engineering

Volumn 24, Issue 2-7, 2000, Pages 1269-1274

  Xin, Yu ^a   Vasquez, Victor R ^a   Whiting, Wallace B ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

Kinetics parameters; Liquid liquid equilibria; Maximum likelihood; Nonlinear regression; Objective functions; Statistical methods; Thermodynamics

Indexed keywords

COMPUTER SIMULATION; ITERATIVE METHODS; KINETIC THEORY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; THERMODYNAMICS;

INSIDE VARIANCE ESTIMATION METHOD; KINETIC MODELS; LIQUID-LIQUID EQUILIBRIA; OBJECTIVE FUNCTION;

PROCESS ENGINEERING;

CALCULATION; CONFERENCE PAPER; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; PROCESS CONTROL; SIMULATION; STATISTICAL ANALYSIS; THERMODYNAMICS;

EID: 0034660745     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00330-6     Document Type: Conference Paper

References (10)

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