Results 211 to 220 of about 845,306 (261)
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Sales Forecasting Errors and Inventory Fluctutions: Random Errors and Random Sales
Management Science, 1966The purpose of this paper is to study the effects of errors in the sales forecast on inventory changes and production rates. This is done by computing the ratio of the standard deviation of inventory change or production rate to the standard deviation of sales rate.
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Measurement Techniques, 1996
A substantiation of the values of correction factors in computational formula for the total error when the individual components are geometrically summed is presented. The dependence of the correction factors on the distribution laws of the probability density of partial errors is indicated.
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A substantiation of the values of correction factors in computational formula for the total error when the individual components are geometrically summed is presented. The dependence of the correction factors on the distribution laws of the probability density of partial errors is indicated.
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2019
A psychological or educational test is an instrument for the measurement of a person’s maximum performance or typical response under standardized conditions, where the performance or response is assumed to reflect one or more latent variables. A test consists of a set of items.
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A psychological or educational test is an instrument for the measurement of a person’s maximum performance or typical response under standardized conditions, where the performance or response is assumed to reflect one or more latent variables. A test consists of a set of items.
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Wavefront error caused by centroid position random error
Journal of Modern Optics, 2008The wavefront error caused by centroid position random error is derived in detail, and an exact formula, which evaluates the wavefront error associated with the centroid position random error, is obtained when the Zernike modes are used as the basis for wavefront reconstruction.
Chaohong Li +3 more
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Optimizaiton with random error
2011A new evolutionary operation called the complicial method is presented. The main criterion, which is adhered to, is that changes in the independent variables are restricted to a small step-size from a previous best trial. The complicial method is essentially a modification of the simplicial method proposed by Spendley, Hext and Himsworth in which these
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A New Random-Error-Correction Code
IEEE Transactions on Computers, 1977A new random-error-correction code presented here is one of the most efficient two-error-correction codes. The new code can correct 2-bit random errors within twelve (12) consecutive bits while (15,7) BCH code [1] corrects two errors within fifteen (15) bits and Hagelbarger's code [2] corrects two errors within fourteen (14) bits. Although Peterson and
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Randomized error estimation for eigenvalue approximation
Calcolo, 2000The paper is concerned with the average behavior of the error in iterative methods for eigenvalue and eigenvector estimation by methods based on Krylov information with respect to random start vectors. For a given matrix \(A\) with dominant eigenvalue of unit absolute value, let \(E(k,A,p)^p\) be the integral of the \(p\)-th power of the error for the \
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Random Mutagenesis by Error-Prone PCR
2010In vitro selection coupled with directed evolution represents a powerful method for generating nucleic acids and proteins with desired functional properties. Creating high-quality libraries of random sequences is an important step in this process as it allows variants of individual molecules to be generated from a single-parent sequence.
Elizabeth O, McCullum +3 more
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Random errors in anthropometry.
Journal of human ergology, 1998In order to present basic information on the magnitude of and variance due to the random error in anthropometry, 219 measurement items were taken on 12 subjects twice by the same observer. The precision (i.e., consistency between the repeated measurements) was investigated for these measurement items.
M, Kouchi +3 more
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2009
The multidimensional normal model covers the behavior of a set of random variables related to different measuring devices. We shall, in particular, refer to the density of the empirical variances and empirical covariances, commonly summed up as empirical moments of second order.
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The multidimensional normal model covers the behavior of a set of random variables related to different measuring devices. We shall, in particular, refer to the density of the empirical variances and empirical covariances, commonly summed up as empirical moments of second order.
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