کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8168422 | 1526293 | 2016 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Useful and little-known applications of the Least Square Method and some consequences of covariances
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موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
ابزار دقیق
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چکیده انگلیسی
Covariances are as important as variances when dealing with experimental data and they must be considered in fitting procedures and adjustments in order to preserve the statistical properties of the adjusted quantities. In this paper, we apply the Least Square Method in matrix form to several simple problems in order to evaluate the consequences of covariances in the fitting procedure. Among the examples, we demonstrate how a measurement of a physical quantity can change the adopted value of all other covariant quantities and how a new single point (x,y) improves the parameters of a previously adjusted straight-line.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 833, 11 October 2016, Pages 82-87
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 833, 11 October 2016, Pages 82-87
نویسندگان
Otaviano Helene, Leandro Mariano, Zwinglio Guimarães-Filho,