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Normally you should use plain numbers for years in the Anno Domini/Common Era, but when events span the start of the Anno Domini/Common Era, use AD or CE for the date at the end of the range (note that AD precedes the date and CE follows it). For example, [[1 BC]]–[[1|AD 1]] or [[1 BCE]]–[[1|1 CE]]. should be changed into:
To specify a period of years spanning the start of the Common Era, use AD or CE for the date at the end of the range (note that AD precedes the date and CE follows it). For example, [[1 BC]]–[[1|AD 1]] or [[1 BCE]]–[[1|1 CE]]. So there you have it. Minority usage or not, it's Wikipedia style to put the AD first. --Wclark 05:58, 2004 Jul 12 ...
For example, the 2007 World Almanac was the first edition to switch to BCE/CE, ending a period of 138 years in which the traditional BC/AD dating notation was used. BCE/CE is used by the College Board in its history tests, [ 59 ] and by the Norton Anthology of English Literature .
A time series is the sequence of a variable's value over equally spaced periods, such as years or quarters in business applications. [11] To accomplish this, the data must be smoothed, or the random variance of the data must be removed in order to reveal trends in the data.
Cross-sectional data differs from time series data, in which the same small-scale or aggregate entity is observed at various points in time. Another type of data, panel data (or longitudinal data), combines both cross-sectional and time series data aspects and looks at how the subjects (firms, individuals, etc.) change over a time series. Panel ...
gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
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For example, in time series analysis, a plot of the sample autocorrelations versus (the time lags) is an autocorrelogram. If cross-correlation is plotted, the result is called a cross-correlogram. The correlogram is a commonly used tool for checking randomness in a data set. If random, autocorrelations should be near zero for any and all time ...