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Ordinal date is the preferred name for what was formerly called the "Julian date" or JD, or JDATE, which still seen in old programming languages and spreadsheet software.. The older names are deprecated because they are easily confused with the earlier dating system called 'Julian day number' or JDN, which was in prior use and which remains ubiquitous in astronomical and some historical calculati
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:
The term Julian date may also refer, outside of astronomy, to the day-of-year number (more properly, the ordinal date) in the Gregorian calendar, especially in computer programming, the military and the food industry, [10] or it may refer to dates in the Julian calendar. For example, if a given "Julian date" is "October 5, 1582", this means ...
The basic approach of nearly all of the methods to calculate the day of the week begins by starting from an "anchor date": a known pair (such as 1 January 1800 as a Wednesday), determining the number of days between the known day and the day that you are trying to determine, and using arithmetic modulo 7 to find a new numerical day of the week.
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).
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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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.