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X.2.XXX Mailbox Status. X.3.XXX Mail System Status. X.4.XXX Network and Routing Status. X.5.XXX Mail Delivery Protocol Status. X.6.XXX Message Content or Media Status. X.7.XXX Security or Policy Status. The meaning of the "detail" field depends on the class and the subject, and are listed in RFC 3463 and RFC 5248 .
An expansion of the 400 Bad Request response code, used when a client certificate is required but not provided. 497 HTTP Request Sent to HTTPS Port. An expansion of the 400 Bad Request response code, used when the client has made a HTTP request to a port listening for HTTPS requests. 499 Client Closed Request.
Extended search being performed may take a significant time so a forking proxy must send a 100 Trying response. [1] : §21.1.1. 180 Ringing. Destination user agent received INVITE, and is alerting user of call. [1] : §21.1.2. 181 Call is Being Forwarded. Servers can optionally send this response to indicate a call is being forwarded. [1 ...
Redirect page. List of HTTP status codes#5xx server errors. To a section: This is a redirect from a topic that does not have its own page to a section of a page on the subject. For redirects to embedded anchors on a page, use { { R to anchor }} .
List of FTP server return codes. FTP server return codes always have three digits, and each digit has a special meaning. [1] The first digit denotes whether the response is good, bad or incomplete: Range. Purpose. 1xx. Positive Preliminary reply. The requested action is being initiated; expect another reply before proceeding with a new command.
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.
The idea behind Chauvenet's criterion finds a probability band that reasonably contains all n samples of a data set, centred on the mean of a normal distribution. By doing this, any data point from the n samples that lies outside this probability band can be considered an outlier, removed from the data set, and a new mean and standard deviation ...
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