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Measurement random

The rate of urine amylase excretion is a sensitive reflection of the amylase released into the blood. The urine amylase remains abnormal 1-2 weeks after the serum returns to normal because the renal clearance of amylase rises 3-fold in acute pancreatitis and takes 1-2 weeks to return to normal. In pancreatitis, a number of investigators have reported a higher percentage of urinary amylase elevations, as contrasted with serum amylase elevations, particularly when the urinary amylase output over an interval is measured. Random urine collections for one, two and 24 hours are 792-4264 (2926 1074 S.D.) units per 24 hours. However, the wide range of normals make interpretation of results difficult. Of 107 patients with elevated serum or urine amylases, 16 were found to have a normal pancreas at operation (78). [Pg.212]

By careful proceeding of measurements random variations can be minimized, but fundamentally not eliminated. The appearance of random errors follow a natural law (often called the Gauss law ). Therefore, random variations may be characterized by mathematical statistics, namely, by the laws of probability and error propagation. [Pg.95]

Approximate Number of Events Required for 80% Power with 5% Two-Sided Log-Rank Test for Comparing Treatment Versus Control arm of Design in which Marker is not Measured. Randomized Arms Are Mixtures of Marker - and Marker + Patients. Hazard Ratio For Marker -Patients Is 1 for the Two Treatment Groups and 0.67 For Marker + Patients. [Pg.336]

Entropy A thermodynamic function that measures randomness, or disorderness. [Pg.190]

This indicates that to know the measurement random error it is not sufficient to know its magnitude only (confidence interval of measurement error) but also the significance level that facilitates the confidence estimate of the obtained measurements. Using the error mean square as a measurement accuracy property is convenient because that value in a normal distribution is associated with a confidence or confidence coefficient of 0.68 probability. The doubled error mean square 2S has... [Pg.192]

If bothy and x are subject to measurable random errors, one can derive parameters starting from the following equation to obtain a/ first ... [Pg.52]

Weber and Moran Method of Calibration—Another method of calibrating sieves consists in measuring random openings in the sieve and obtaining size-frequency distributions as qutlined in Chapter 3. The openings are measured by filar micrometer or by projection methods. Two screens are then identical if the mean size of the openings and the standard deviations are the same. Weber and Moran (1938) use the coefficient of variation... [Pg.118]

Systematic errors result from sources traced to the methodology, the instrument, or the operator. These affect both the accuracy and the precision of the measurement. Random errors affect the precision and are difficult to eliminate as they result from random fluctuations in the measured signal because of noise and other factors. The imprecision of the entire procedure is often dominated by the random errors of the most imprecise step. The difference between an accurate and a precise method is illustrated in Fig. 3. [Pg.1698]

Choose the solutions for measurement randomly. Do not start at the least concentrated solution and work up to the most concentrated. [Pg.155]

Random errors affecting individual measurements randomly causing a scatter. [Pg.321]

Random errors are variations that increase the standard deviation of a measurement randomly about its mean value. Since random errors should be distributed in a random fashion, both above and below the true value of the quantity being measured, taking repeated measurements can reduce their effect on the measured experimental value. Random er-... [Pg.97]

In a production of screws we wish to check, if the required length, which is to lie between 1.9 and 2.1 cm, is satisfied. For this purpose a screw is selected at random and its length is measured (random experiment). Let A be the event that the screw is shorter than 1.9 cm and B the event that it is longer than 2.1 cm. Then AUB means that the screw does not have the required length and AUB means that it satisfies the length requirement. If C were the event that the screw is at least 2.0 cm long, then C n A U B is the event that the length of the screw is between 2.0 and 2.1 cm. ... [Pg.638]

Error in measurement is unavoidable. Again, characteristics of error fall into categories. Random error is fundamental to any measurement. Random error may make the measurement either too high or too low and is associated with the limitations of the equipment with which the measurement is made. Systematic error makes measurements consistently either too high or too low. This type of error is often associated with the existence of some unknown bias in the measurement apparatus. Impurities in metals provide one example of possible error sources. Suppose that an aluminum alloy contains very small amounts of another... [Pg.12]

Random error, also called indeterminate error, arises from limitations on our ability to make physical measurements and on natural fluctuations in the quantity being measured. Random error has an equal chance of being positive or negative. It is always present and cannot be corrected. One random error is that associated with reading a scale. Different people reading the scale in Figure 3-1 report a range of... [Pg.60]


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See also in sourсe #XX -- [ Pg.162 , Pg.163 , Pg.164 ]




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