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possible Replicate measurements should never be present in both the calibration and test sets This risk exists with a random selection which is proposed in current NIR software If it is the simplest way to select a test set, it leaves the selection to the computer Manual selection is recommended since it gives full control over the selection of a test set Multiple regression programs also calculate auxiliary statistics, designed to help decide how well the calibration ts the data, and how well it can be expected to predict future samples For example, two of these statistics are the standard error of calibration (SEC) and the multiple correlation coef cient (R) The SEC (also called standard error of estimate, or residual standard deviation) and the multiple correlation coef cient indicate how well the calibration equation ts the data Their formulas are given in Table 3. c# upc-a reader C# UPC-A Barcode Scanner Library - Read & Scan UPC-A Using ...
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Size setting of C# UPC-A Generator- Using C# to Set Barcode Width, Barcode Height, X, Y, Image Margins. The SEC has the same units as the dependent variables, and it re ects the differences between the instrumental value for the analyte of interest and the reference laboratory value It expresses the modeling error and cannot be used to estimate future prediction errors In the absence of instrumental error, SEC is only the measure of reference laboratory error It is an indication of whether calculation using the calibration equation will be suf ciently accurate for the purposes for which it has been generated In practice, SEC is less accurate than the reference laboratory, even in the absence of instrumental error, if the wavelength range used as independent variables in the calibration does not account for all interference in the samples or if other physical phenomena are present The detection limit and sensitivity, or signal-to-noise, de nes instrument performance for a speci c NIR application. c# upc-a reader UPC-A C# DLL - Create UPC-A barcodes in C# with valid data
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The C# .NET UPC-A Reader Control SDK conpiles linear UPC-A barcode reading funtion into an easy-to-use barcode scanner dll. This UPC-A barcode scanner ... Detection limits can usually be approximated for any NIRS method as equal to three times the SEC for the speci ed application Sensitivity for quantitative NIR methods can typically be evaluated as the slope of the calibration line for the concentration of the examined analyte (y axis), versus the change in optical response (x axis), between samples of varying concentration Sensitivity, from a purely instrumental point of view, is expressed as a signal-to-noise or peak height ratio for a particular compound versus peak-to-peak noise at some absorbance (usually zero) However, in a practical sense, the above considerations do not really matter in NIR spectroscopy This is due to the fact that the applications developed for practical NIR are mostly based on empirical calibration methods and that the calibration is speci c to the problem of interest. 1 2 3 4 It is a characteristic of calibration equations using multivariate mathematical techniques to compensate for the common variations found in noisy chemical samples and imperfect instrumental measurements This is why properly calculated and validated NIR calibration models are robust and work extremely well The multiple correlation coef cient R is a dimensionless measure of how well the calibration ts the data R can have values between 1 and +1, but in a calibration situation only positive values exist A value close to zero indicates that the calibration fails to relate the spectra to the reference values As the correlation coef cient increases, the spectra become better and better predictors of the reference values Because the multiple correlation coef cient is dimensionless, it is a useful way of comparing data or results with different units, and that are dif cult to compare in other ways. When you have more than one target object involved, you have what is known as a join. The join is the fundamental piece of all of relational databases and allows you to arbitrarily map the data of one table with that of another. A simple example, found at the end of this section, is mapping an employee s name in the emp table to the department s name in the dept table. Before looking at that, it is important to understand what is happening beneath the surface. Changing the default administrator access password . . . . . . . . . . . . 383 Changing the default wireless network name . . . . . . . . . . . . . . . . . . 386 However, its value gives no indication of how well the calibration equation can be expected to perform on future samples.. c# upc-a reader Genreating UPC barcodes using with Microsoft Visual C# 2010 - MSDN
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