Automation of a procedure to find the polynomial which best fits (κ, c1, c2, T) data of electrolyte solutions by non-linear regression analysis using mathematica® software

Cortazar, E.; Usobiaga, Aresatz; Fernández, Luis Ángel; Diego, Alberto de; Madariaga, Juan Manuel

doi:10.1016/s0097-8485(01)00115-2

Cited by 1 publication

(2 citation statements)

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“…Data Treatment. Multivariate nonlinear regression analysis of (κ, w 1 , w 2 , and t ) data was accomplished by a computer program based on the Nonlinear Regress package in Mathematica 16 (Tkondu). Briefly, Tkondu looks for the polynomial which best fits (κ, w 1 , w 2 , and t ) conductivity data of liquid mixtures of two electrolytes.…”

Section: Methodsmentioning

confidence: 99%

“…Starting from a general polynomial in w 1 , w 2 , and t and using statistical parameters defined by the user, Tkondu (i) determines the lowest grade in each independent variable ( w 1 , w 2 , and t ) necessary to fit data with a predetermined accuracy and (ii) simplifies the resulting model by removing the adjustable parameters which are not statistically significant. More details about working with Tkondu can be found elsewhere …”

Section: Methodsmentioning

confidence: 99%

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Electrical Conductivity of Concentrated H₂TiF₆ + HF + H₂O Mixtures

2002

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The electrical conductivity of H 2 TiF 6 (1) + HF (2) + H 2 O (3) mixtures was measured in a wide range of mass fractions (0% < w 1 < 55% and 0% < w 2 < 11%) and temperature (15°C < t < 35°C) by means of an automatic system based on the "electrodeless conductivity" technique. The results were fitted to a polynomial equation in w 1 , w 2 , and t using a Mathematica package (Tkondu). The resulting model is able to reproduce experimental data with an uncertainty below 5%.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%