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  Published Paper Details:

  Paper Title

SOME APPLICATIONS OF UNIVARIATE CALIBRATION MODELS

  Authors

  Dr Jikcey Isaac

  Keywords

calibration model; confidence region ; inverse regression

  Abstract


A statistical calibration problem is a kind of inverse prediction, or inverse regression. First of all we consider unvariate calibration, then we extend this idea to multivariate case. Suppose we want to measure the amount of chemical, x, in a sample. Direct measurement is very difficult or expensive or time consuming. Hence we consider a related measurement, y, which is easy and inexpensive to obtain. Now we prepare N samples with known amounts of the chemical xi, i = 1, 2, ..., N. Measure the corresponding value of y, i = 1, 2, ..., N. A model is fitted to these data and this model is used in a future study to estimate the true characteristic x using the less expensive or easily obtained measurement y. We deal with the situation where x is fixed (i.e., non-random).

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1135327

  Paper ID - 245859

  Page Number(s) - 180-184

  Pubished in - Volume 6 | Issue 2 | May 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr Jikcey Isaac,   "SOME APPLICATIONS OF UNIVARIATE CALIBRATION MODELS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.180-184, May 2018, Available at :http://www.ijcrt.org/papers/IJCRT1135327.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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