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1.5.7 MeSH E01.370.378 – diagnostic techniques, obstetrical and gynecological 1.5.8 MeSH E01.370.380 – diagnostic techniques, ophthalmological 1.5.9 MeSH E01.370.382 – diagnostic techniques, otological
Ink cartridge. Two cartridges (one with black ink (a third-party type HP 15-compatible cartridge), one with colored inks (an original type HP 17 tri-color cartridge)) installed in an HP inkjet printer. An ink cartridge or inkjet cartridge is the component of an inkjet printer that contains the ink to be deposited onto paper during printing. [1]
Epson America headquarters in Los Alamitos, California. Seiko Epson Corporation, commonly known as Epson, [3] is a Japanese multinational electronics company and one of the world's largest manufacturers of printers and information- and imaging-related equipment.
Call paid premium support at 1-800-358-4860 to get live expert help from AOL Customer Care. Having trouble signing in? Find out how to identify and correct common sign-in issues like problems with your username and password, account locks, looping logins, and other account access errors.
The first element of a CIRC decoder is a relatively weak inner (32,28) Reed–Solomon code, shortened from a (255,251) code with 8-bit symbols. This code can correct up to 2 byte errors per 32-byte block. More importantly, it flags as erasures any uncorrectable blocks, i.e., blocks with more than 2 byte errors.
Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.
Propagation of uncertainty. In statistics, propagation of uncertainty (or propagation of error) is the effect of variables ' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them. When the variables are the values of experimental measurements they have uncertainties due to measurement ...
It is remarkable that the sum of squares of the residuals and the sample mean can be shown to be independent of each other, using, e.g. Basu's theorem.That fact, and the normal and chi-squared distributions given above form the basis of calculations involving the t-statistic:
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