curve fitting

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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 ?
What worries me about one model fitting all is a problem that relates to Northumbria in particular," said Lord Stevens of Kirkwhelpington.
Contrary to traditional hypothesis testing, a statistically significant [chi square] value suggests bad model fit and is not desirable in model fitting (Kline, 2005).
Using genetic model fitting, the researchers estimated that genes account for 63% of satiety sensitivity.
Using genetic model fitting, the researchers estimated that genes account for 63% of satiety sensitivity Shared environment and nonshared environmental factors accounted for 21% and 16% of satiety sensitivity, respectively.
Experimental Design Data Processing and Model Fitting In Predictive Microbiology.
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.
Analysis routines have been built into the software, including a template wizard, improved model fitting capabilities, Time Temperature Superposition (TTS) analysis, and data manipulation routines.
Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.
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.
The package provides many user-friendly features such as manual editing, best model fitting, Hardy-Weinberg testing, and database connectivity.
JMP software offers descriptive statistics and simple analyses for beginning statisticians, and complex model fitting for advanced researchers.

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