# curve fitting

(redirected from Model fitting)

## curve fitting

[′kərv ‚fid·iŋ]
(statistics)
The calculation of a curve of some particular character (as a logarithmic curve) that most closely approaches a number of points in a plane.
References in periodicals archive ?
With the DRIVe model fitting in neatly below the crucial 160g/km tax band at 154g/km, its Benefit-in-Kind credentials are strong with a 20 per cent tax payer paying pounds 98 per month and 40 per cent tax payer paying pounds 195 for the XC60 D3 DRIVe ES.
Experimental Design Data Processing and Model Fitting In Predictive Microbiology.
What worries me about one model fitting all is a problem that relates to Northumbria in particular," said Lord Stevens of Kirkwhelpington.
They first give readers background on distribution related to the normal distribution, quadratic forms and estimation, then cover model fitting, exponential family and generalized linear models, estimation (including maximum livelihood estimation and the Poisson regression example), inference, normal linear models, binary variables and logistic regression, nominal and ordinal logistic regression, Poisson regression and log-linear models, survival analysis, clustered and longitudinal data, and the aforesaid chapters on Bayesian analysis, including a chapter on Markov Chain Monte Carlo methods and another of examples.
Using genetic model fitting, the researchers estimated that genes account for 63% of satiety sensitivity.
The findings suggest that diversity can be expected among classrooms and teachers in northern Nigeria, with no one model fitting all.
Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.
Beginning with an overview of LMMs, they turn to real-world data sets (including those concerning rat brains and dental veneers) to help readers compare model fitting options and results and link software to procedures in two-level models and three-level models for clustered data, models for repeated-measures data, random coefficient models for longitudinal data, and models for clustered longitudinal data.
The package provides many user-friendly features such as manual editing, best model fitting, Hardy-Weinberg testing, and database connectivity.
This guide, which includes a range of examples, covers one-sample and two-sample methods, K-sample methods, paired comparisons and blocked designs, tests of association for bivariate data and contingency tables, analysis of censored data, multivariate permutation tests, smoothing methods and robust model fitting.
A number of new analysis routines bare been built into the software, including a new template wizard, improved model fitting capabilities, Time Temperature Superposition (TTS) analysis, and new data manipulation routines.

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