✦ LIBER ✦

Fitting and interpolating calibration data for carbon-glass thermometers

✍ Scribed by D.J. Gillespie; A.C. Ehrlich

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 380 KB
Volume: 29
Category: Article
ISSN: 0011-2275
DOI: 10.1016/0011-2275(89)90266-x

No coin nor oath required. For personal study only.

✦ Synopsis

has been used to fit the calibration data of nine carbon-glass resistance temperature sensors. By dividing the data into seven distinct regions and using the least-squares method to fit the data in each region with this function, it was possible to fit each calibration set to within the stated accuracy of the calibration. The advantage of this method is that the fitting function is easy to use, easy to invert analytically and yields better interpolations than some other commonly used functions. In addition a procedure is also given whereby miscalibrated points or small jumps in the resistivity of the sensor can be easily identified.

📜 SIMILAR VOLUMES

The interpolation of germanium and carbo

The interpolation of germanium and carbon cryogenic thermometer calibrations

✍ D.A. Ward 📂 Article 📅 1972 🏛 Elsevier Science 🌐 English ⚖ 423 KB

Interpolation and extrapolation of a car

Interpolation and extrapolation of a carbon resistance thermometer calibration data in the liquid helium II region

✍ S Cunsolo; M Santini; M Vicentini-Missoni 📂 Article 📅 1965 🏛 Elsevier Science 🌐 English ⚖ 155 KB

Use of the four parameter weibull functi

Use of the four parameter weibull function for fitting fatigue and compliance calibration data

✍ Fraser Smith; David W. Hoeppner 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 946 KB

The use of the four parameter Weibull function for fitting compliance calibration and fatigue crack growth data is proposed and validated. The fitting procedure is explained and its shortcomings identified in detail. The most serious problem of failing consistently to fit low end data is rectified t

Treatment of radioimmunoassay data: A co

Treatment of radioimmunoassay data: A computer program for curve-fitting and dose interpolation using orthogonal polynomials

✍ C. Nemoz; A. Faure; Ch. Bizzollon; J. Site 📂 Article 📅 1978 🏛 Elsevier Science ⚖ 641 KB

We propose a method allowing the automatic exploitation of radioimmunoassay results. The standard curve is calculated according to two models; a linear model by Logit-Log transformation of data and another one using Fisher's orthogonal polynomials. The computer programs are written in FORTRAN IV.