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Mission control center's board with time data, displaying coordinated universal time with ordinal date (without year) prepended, on October 22, 2013 (i.e.2013-295). An ordinal date is a calendar date typically consisting of a year and an ordinal number, ranging between 1 and 366 (starting on January 1), representing the multiples of a day, called day of the year or ordinal day number (also ...
This template generates an ordinal date. Used alone as {{Ordinal date}} it will generate the ordinal date for the current year-month-day. Check the result at tycho.usno.navy.mil after this page. This template may also be used to generate the ordinal date for any Gregorian calendar dates by passing the proper syntax to the following variables:
This template returns the date (month name and day of month) from a day number in a year. Syntax: {{Date from ordinal|day of year}} {{Date from ordinal|day of year|year}} {{Date from ordinal|day of year|leapyear=isleap}} The year parameter is optional. If specified the date serial is handled for that specific year (leapyear is then ignored).
The result is the ordinal date, which can be converted into a calendar date. If the ordinal date thus obtained is zero or negative, the date belongs to the previous calendar year; if it is greater than the number of days in the year, it belongs to the following year. Formula
Or, like a Julian day, does an ordinal date begin at noon, so: At midnight when January 1 begins, the ordinal date is -0.5; At noon on January 1, the ordinal date is 1.0; At midnight when January 2 begins, the ordinal date is 1.5; This question relates to the formulas in declination#Sun, where the value of 'N' is
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Very often, when defining a function F by transfinite recursion on all ordinals, one defines F(0), and F(α+1) assuming F(α) is defined, and then, for limit ordinals δ one defines F(δ) as the limit of the F(β) for all β<δ (either in the sense of ordinal limits, as previously explained, or for some other notion of limit if F does not take ...
In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant.