A Programmatic Summary of Theoretical Basis and Methods of Micro-resistance Measurement
DOI:
https://doi.org/10.54097/uo6c3w7yKeywords:
Multiple Regression, Least Square Principle, Error Calculation, Four-wire Resistance MeasurementAbstract
The accuracy of micro-resistance measurements is an issue of widespread concern in industry. In this paper, we review the methods and main mathematical methods of tiny resistance measurement, firstly, we introduce the three basic mathematical knowledge of multiple regression model, the principle of least squares and the calculation of error, then we review the two-wire resistance measurement method and four-wire resistance measurement method. This paper presents a systematic description of the methods and mathematical theories related to the measurement and fitting of tiny resistors to provide a theoretical summary for future research in the area of tiny resistors.
References
Kelley K, Bolin J H. Multiple regression[M]//Handbook of quantitative methods for educational research. Brill, 2013: 69-101.
Osborne J W, Waters E. Four assumptions of multiple regression that researchers should always test[J]. Practical assessment, research, and evaluation, 2019, 8(1): 2.
Jöreskog K G, Goldberger A S. Factor analysis by generalized least squares[J]. Psychometrika, 1972, 37(3): 243-260.
Zhu J., Li Y., Numerical Computing Methods[J], Higher Education Press, 2021: 6-7, 4-5.
Schagrin M L. Resistance to Ohm's law[J]. American Journal of Physics, 1963, 31(7): 536-547.
Janesch J. Two-wire vs. four-wire resistance measurements: Which configuration makes sense for your application[J]. no. May, 2013: 2-4.
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