TITLE

The Analysis of Different Approaches Related to the Measurement Uncertainty in Biomedical Calibration

AUTHOR(S)

Karagöz, Irfan; Cecelioglu, Serkan

PUB. DATE

July 2007

SOURCE

Gazi University Journal of Science;Jul2007, Vol. 20 Issue 3, p61

SOURCE TYPE

Academic Journal

DOC. TYPE

Article

ABSTRACT

As a result of the calculation of expanded uncertainty, the measurement uncertainty defines an interval within which the measurand lies. Expanded uncertainty is generally calculated by using z-distribution in conjunction with coverage factor k . But, by using z-distribution, correctly finding the interval which the measurand lies within, with a specified confidence level, requires too many measurements which must be done repeatedly. In an ideal case, the number of measurements must approach infinity. Since this is not the case in practice, if the number of measurements is small, using Student's factor t v,p instead of coverage factor k results in the definition of a relatively wider interval and more accurate results. This situation is shown, as a result of an analysis done on a biomedical system, by calculating the measurement uncertainty and the interval within which the measurand lies in a confidence level of 95%, comparing two different approaches.

ACCESSION #

27070891

 

Related Articles

• Only 24% of CEOs Foresee e Economy, Marts Improving.  // Money Management Executive;7/14/2008, Vol. 16 Issue 28, p7 

  The article highlights The Conference Board's measure of the confidence level of chief executive officers (CEO) in the U.S. The confidence of CEO on the economy stands at 39 points, with 50 or greater showing positive outlook. The Board found that only 24 percent of CEO predict that the economy...

• Adding Value to Valuation with Confidence. Pooley, Gale L. // Appraisal Journal;Summer2015, Vol. 83 Issue 3, p218 

  The article discusses the use of traditional statistical technique to the appraisal process which estimates and measures the degree or level of confidence from a normal distribution. Topics include the importance of variation, the philosophy of confidence for valuation, and the shape of the...

• Advantages of statistical analysis of giant vesicle flickering for bending elasticity measurements. Méléard, P.; Pott, T.; Bouvrais, H.; Ipsen, J. // European Physical Journal E -- Soft Matter;Oct2011, Vol. 34 Issue 10, p1 

  We show how to greatly improve precision when determining bending elasticity of giant unilamellar vesicles. Taking advantage of the well-known quasi-spherical model of liposome flickering, we analyze the full probability distributions of the configurational fluctuations instead of limiting the...

• Probabilistic Fracture Strength Prediction of Surface Cracked Tensile Specimens using a Modified Two Parameter Criterion. Krishnaveni, A.; Christopher, T. // European Journal of Scientific Research;10/21/2011, Vol. 62 Issue 3, p368 

  Probabilistic Fracture Mechanics (PFM) is becoming increasingly popular for realistic evaluation of fracture response and reliability of cracked structures. This paper presents the PFM approach for determination of fracture strength of a specimen with surface cracks. A modified two parameter...

• Verification of the indoor GPS system, by comparison with calibrated coordinates and by angular reference. Muelaner, J.; Wang, Z.; Martin, O.; Jamshidi, J.; Maropoulos, P. // Journal of Intelligent Manufacturing;Dec2012, Vol. 23 Issue 6, p2323 

  This paper details work carried out to verify the dimensional measurement performance of the Indoor GPS (iGPS) system; a network of Rotary-Laser Automatic Theodolites (R-LATs). Initially tests were carried out to determine the angular uncertainties on an individual R-LAT transmitter-receiver...

• Asymptotic distribution of the sample average value-at-risk. Stoyanov, Stoyan V.; Rachev, Svetlozar T. // Journal of Computational Analysis & Applications;Jan2008, Vol. 10 Issue 1, p465 

  In this paper, we prove a result for the asymptotic distribution of the sample average value-at-risk (AVaR) under certain regularity assumptions. The asymptotic distribution can be used to derive asymptotic confidence intervals when AV aRϵ(X) is calculated by the Monte Carlo method which is...

• SOME CONFIDENCE INTERVALS FOR LARGE CONCENTRATION PARAMETER IN VON MISES DISTRIBUTION. Hassan, S. F.; Zubairi, Y. Z.; Hussin, A. G.; Satari, S. Z. // Pakistan Journal of Statistics;2014, Vol. 30 Issue 2, p273 

  Von Mises distribution, also known as the natural analog of the normal distribution on real line, has two parameters namely the mean direction and concentration parameter. This paper considers the problem related to finding the best confidence intervals (CI) for a large concentration parameter....

• Parameter estimation of the modified Weibull model based on grouped and censored data. Zaindin, Mazen // International Journal of Basic & Applied Sciences;Apr2010, Vol. 10 Issue 2, p122 

  This paper presents estimations of the modified Weibull distribution model based on grouped and censored data. The maximum likelihood method is utilized to derive point and asymptotic estimates of the unknown parameters. confidence and Further, the asymptotic confidence intervals for the...

• Multiple comparisons distortions of parameter estimates. Neal O. Jeffries // Biostatistics;Apr2007, Vol. 8 Issue 2, p500 

  In experiments involving many variables, investigators typically use multiple comparisons procedures to determine differences that are unlikely to be the result of chance. However, investigators rarely consider how the magnitude of the greatest observed effect sizes may have been subject to bias...

• Double block bootstrap confidence intervals for dependent data. Stephen M. S. Lee; P. Y. Lai // Biometrika;Jun2009, Vol. 96 Issue 2, p427 

  The block bootstrap confidence interval for dependent data can outperform the conventional normal approximation only with nontrivial studentization which, in the case of complicated statistics, calls for specialist treatment and often results in unstable endpoints. We propose two double block...

Read the Article