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[4]: 112 Series can be used arithmetically, as in the statement series_3 = series_1 + series_2: this will align data points with corresponding index values in series_1 and series_2, then add them together to produce new values in series_3. [4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and ...
In Gretl, the option --robust to several estimation commands (such as ols) in the context of a time-series dataset produces Newey–West standard errors. [ 16 ] In SAS , the Newey–West corrected standard errors can be obtained in PROC AUTOREG and PROC MODEL [ 17 ]
For example, when working with time series and other types of sequential data, it is common to difference the data to improve stationarity. If data generated by a random vector X are observed as vectors X i of observations with covariance matrix Σ, a linear transformation can be used to decorrelate the data.
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By Naomi Rovnick, Amanda Cooper and Dhara Ranasinghe. LONDON (Reuters) - U.S. President Donald Trump's return to the White House has been met with both relief and disappointment across world ...
The newly constituted board of the Kennedy Center for the Performing Arts has elected President Donald Trump as its chairman.
The fire is more than 84% contained as of Sunday. It has so far burned more than 23,440 acres and flare-ups have continued to spark nearly three weeks later.
In time series analysis used in statistics and econometrics, autoregressive integrated moving average (ARIMA) and seasonal ARIMA (SARIMA) models are generalizations of the autoregressive moving average (ARMA) model to non-stationary series and periodic variation, respectively.