Repeatability condition of measurement

Repeatability, measurement precision under a set of repeatable conditions of measurement [3] precision of results obtained under the same measurement conditions (a given laboratory, analyst, measuring instrument, reagents, etc.). 

NOTE 2 The specified conditions can be, for example, repeatability conditions of measurement, intermediate precision conditions of measurement, or reproducibility conditions of measurement (see ISO 5725-2 1994). NOTE 3 Measurement precision is used to define measurement repeatability, intermediate measurement precision, and measurement reproducibility. 

Description Measurement precision is usually expressed numerically by measures of imprecision, such as standard deviation, variance, or coefficient of variation, under the specified conditions of measurement. When a measurement precision is given, it is important to specify the conditions. These conditions can be, for example, repeatability condition of measurement, intermediate precision condition of measurement, or reproducibility condition of measurement (see ISO 5725-3 1994 and see below). The measurement precision is used to define measurement repeatability, intermediate measurement precision, and measurement reproducibiUty. In the VIM, it is mentioned that sometimes measurement precision is erroneously used to indicate measurement accuracy. 

I 7 Quality Control in Isotope Ratio Applications Repeatability condition of measurement... 

Repeatability is the closeness of the agreement between the results of successive measurements of the same measurand carried out under the same conditions of measurement . Repeatability conditions include the same measurement procedure, the same observer, the same measuring instrument, used under the same conditions, the same location, and repetition over a short period of time (ISO 3534-1 [1993]). 

Repeatability means conditions of measurement that includes the same measurement procedure, same operators, same measuring system, same operating conditions and same location, and replicate measurements on the same or similar objects over a short period of time. 

It is an indicative valne and should not normally be nsed for decision-making pnrposes. It shonld be established nsing an appropriate measurement standard or sample and should not be determined by extrapolation. The LoQ is calculated as the analyte concentration corresponding to the sample blank value plus 10 standard deviations of the blank measurement. If measurements are made under repeatability conditions, a measure of the repeatability precision at this concentration is also obtained. 

In conclusion, it has to be remembered that even the outstanding, extremely useful, simple, robust, and repeatable SEC method may produce erroneous results if a desirable attemption is not paid to the conditions of measurement and to appropriate data processing. 

Repeatability closeness of agreement between results of successive measurements carried out under the same conditions (i.e., corresponding to within-run precision). Reproducibility closeness of agreement between results of measurements performed under changed conditions of measurements (e.g., time, operators, calibrators, and reagent lots). Two specifications of reproducibility are often used total or between-run precision in the laboratory, often termed intermediate precision and interlaboratory precision (e.g., as observed m external quality assessment schemes [EQAS]) (see Table 14-2). 

A special method was developed to determine Unear coefficient of thermal expansion of plastic lumber.Test specimens having a length of 300 mm are cut from manufactured profiles. The specimen is conditioned at -34.4°C and 50% RH for at least 48 h and its length measured with calipers with accuracy of 0.025 nun during the first minute from withdrawing from a conditioning chamber. Repeat conditioning and measurements at 23 and 60 C. Calculate thermal expansion coefficient from the above equatioa... 

In the figures presented in this chapter, in order to save space, conditions of measurement which are the same as given above are not repeated. 

Definition Measurement precision under a set of repeatability conditions of... 

The mathematical description of the echo intensity as a fiinction of T2 and for a repeated spin-echo measurement has been calculated on the basis that the signal before one measurement cycle is exactly that at the end of the previous cycle. Under steady state conditions of repeated cycles, this must therefore equal the signal at the end of the measurement cycle itself For a spin-echo pulse sequence such as that depicted in Figure B 1.14.1 the echo magnetization is given by [17]... 

For regulatory control, repeatability is of major interest. The basic-objective of regulatory control is to maintain uniform process operation. Suppose that on two different occasions, it is desired that the temperature in a vessel be 80°C. The regulatoiy control system takes appropriate actions to bring the measured variable to 80°C. The difference between the process conditions at these two times is determined by the repeatability of the measurement device. 

Predictive maintenance programs using vibration analysis must have accurate, repeatable data to determine the operating condition of plant machinery. In addition to the transducer, three factors will affect data quality measurement point, orientation and compressive load. 

The essence of the LST for one-dimensional lattices resides in the fact that an operator TtN->N+i could be constructed (equation 5.71), mapping iV-block probability functions to [N -f l)-block probabilities in a manner which satisfies the Kolmogorov consistency conditions (equation 5.68). A sequence of repeated applications of this operator allows us to define a set of Bayesian extended probability functions Pm, M > N, and thus a shift-invariant measure on the set of all one-dimensional configurations, F. Unfortunately, a simple generalization of this procedure to lattices with more than one dimension, does not, in general, produce a set of consistent block probability functions. Extensions must instead be made by using some other, approximate, method. We briefly sketch a heuristic outline of one approach below (details are worked out in [guto87b]). 

The measurement of filth elements by microanalysis is a valuable adjunct in the enforcement of the Food, Drug, and Cosmetic Act and serves as an efficient means of evaluating conditions of cleanliness, decency, and sanitation in food-producing plants. This, of course, is in addition to the value of microanalytical methods in the determination of the fitness of foods as they reach the consumer. The techniques available, together with proficiency of manipulation, repeated references to authentic materials, and sound judgment in the interpretation of results, provide effective enforcement weapons in the constant war to prevent the production and interstate distribution of products which are unfit for the table of the American consumer. 

The precision of an analytical procedure expresses the closeness of agreement (degree of scatter) between a series of measurements obtained from multiple sampling of the same homogeneous sample under the prescribed conditions. Precision may be considered at three levels repeatability (within run) intermediate precision (over time) and reproducibility (inter-laboratory). 

Repeated measurements of the same measurand on a series of identical measuring samples result in random variations (random errors), even under carefully controlled constant experimental conditions. These should include the same operator, same apparatus, same laboratory, and short interval of the time between measurements. Conditions such as these are called repeatability conditions (Prichard et al. [2001]). The random variations are caused by measurement-related technical facts (e.g., noise of radiation and voltage sources), sample properties (e.g., inhomogeneities), as well as chemical or physical procedure-specific effects. 

Experimental standard deviation obtained from a series of n measurements under repeatability conditions. 

The measurement bias, B, can be calculated as the ratio (often expressed as a percentage) of the difference between the mean of a number of determinations of a test sample, obtained under repeatability conditions, and the true or accepted concentration for that test sample, as shown in the following equation ... 

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