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A machine check exception ( MCE) is a type of computer error that occurs when a problem involving the computer's hardware is detected. With most mass-market personal computers, an MCE indicates faulty or misconfigured hardware.
This is a list of Hypertext Transfer Protocol (HTTP) response status codes. Status codes are issued by a server in response to a client's request made to the server. It includes codes from IETF Request for Comments (RFCs), other specifications, and some additional codes used in some common applications of the HTTP.
Common exceptions include an invalid argument (e.g. value is outside of the domain of a function), an unavailable resource (like a missing file, a network drive error, or out-of-memory errors), or that the routine has detected a normal condition that requires special handling, e.g., attention, end of file.
If you're having problems sending messages in AOL Mail, it could be for one of several reasons. Most sending issues can be fixed with a couple of quick troubleshooting steps.
List of HTTP status codes - Wikipediawikipedia.org
In computing, an error code (or a return code) is a numeric or alphanumeric code that indicates the nature of an error and, when possible, why it occurred. Error codes can be reported to end users of software, returned from communication protocols , or used within programs as a method of representing anomalous conditions.
Definitions. Error detection is the detection of errors caused by noise or other impairments during transmission from the transmitter to the receiver. Error correction is the detection of errors and reconstruction of the original, error-free data.
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.
An error message is the information displayed when an unforeseen problem occurs, usually on a computer or other device. Modern operating systems with graphical user interfaces, often display error messages using dialog boxes.
The sum of squares of errors (SSE) is the MSE multiplied by the sample size. Sum of squares of residuals (SSR) is the sum of the squares of the deviations of the actual values from the predicted values, within the sample used for estimation.