GNU Wget is a computer program that retrieves content from web servers. It is part of the GNU Project. Its name derives from World Wide Web and get. It supports downloading via HTTP, HTTPS, and FTP.
In statistics and econometrics, and in particular in time series analysis, an autoregressive integrated moving average (ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. Both of these models are fitted to time series data either to better understand the data or to predict future points in the series (forecasting). ARIMA models are applied in some cases where data show evidence of non-stationarity in the sense of mean, where an initial differencing step can be applied one or more times to eliminate the non-stationarity of the mean function. When the seasonality shows in a time series, the seasonal-differencing could be applied to eliminate the seasonal component. Since the ARMA model, according to the Wold's decomposition theorem, is theoretically sufficient to describe a regular wide-sense stationary time series, we are motivated to make stationary a non-stationary time series, e.g., by using differencing, before we can use the ARMA model. Note that if the time series contains a predictable sub-process, the predictable component is treated as a non-zero-mean but periodic component in the ARIMA framework so that it is eliminated by the seasonal differencing.
In time series analysis, the Box–Jenkins method, named after the statisticians George Box and Gwilym Jenkins, applies autoregressive moving average (ARMA) or autoregressive integrated moving average (ARIMA) models to find the best fit of a time-series model to past values of a time series.
GopherVR is an enhanced Internet Gopher client that includes a 3D visualization tool for viewing resource collections as 3D scenes. The 3D view was intended to be similar to 3D games of the time, like Spectre.
CSPro, short for the Census and Survey Processing System, is a public domain data processing software package developed by the U.S. Census Bureau and ICF International. Serpro S.A. was involved in past development. Funding for development comes primarily from the U.S. Agency for International Development. The main purpose of this software framework is to design application for data collection and processing.
Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series. It is usually done when wanting to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components. Many economic phenomena have seasonal cycles, such as agricultural production, and consumer consumption. It is necessary to adjust for this component in order to understand underlying trends in the economy, so official statistics are often adjusted to remove seasonal components. Typically, seasonally adjusted data is reported for unemployment rates to reveal the underlying trends and cycles in labor markets.
CrushFTP is a proprietary multi-protocol, multi-platform file transfer server originally developed in 1999. CrushFTP is shareware with a tiered pricing model. It is targeted at home users on up to enterprise users.
X11 is a system which implements the X display protocol.
The Director of the Bureau of the Census is the chief administrator of the United States Census Bureau (USCB). The officeholder is appointed by the President of the United States and confirmed by the United States Senate and assisted by the Deputy Director of the United States Census Bureau.
The economy of the United States has been divided into economic sectors in different ways by different organizations. The North American Industry Classification System (NAICS) was developed in 1997 and is used by the United States Census Bureau, while the and Exchange Commission]] (SEC).
This article is about public holidays in Antigua and Barbuda.
The International Labor Comparisons Program (ILC) of the U.S. Bureau of Labor Statistics (BLS) adjusts economic statistics to a common conceptual framework in order to make data comparable across countries. Its data can be used to evaluate the economic performance of one country relative to that of other countries and to assess international competitiveness.
The Great Recession in South America, as it mainly consists of commodity exporters, was not directly affected by the financial turmoil, even if the bond markets of Brazil, Argentina, Colombia and Venezuela have been hit.
Free statistical software is a practical alternative to commercial packages. In general, free statistical software gives results that are the same as the results from commercial programs, and many of the packages are fairly easy to learn, using menu systems, although a few are command-driven. These packages come from a variety of sources, including governments, nongovernmental organizations (NGOs) like UNESCO, and universities, and are also developed by individuals.
The holidays in The Bahamas include the following:
Agustín Maravall Herrero is a Spanish economist known for his contributions in statistics and econometrics time series analysis, in particular seasonal adjustment and in the estimation of signals in economic time series. He has completed a methodology and several computer programs that are used throughout the world by analysts, researchers, and data producers. An important use is official production of series adjusted for seasonality and (perhaps) other undesirable effects such as noise, outliers, or missing observations. Maravall has received several awards and distinctions and retired in December 2014 from the Bank of Spain.
Estela (Estelle) Bee Dagum is an Argentine and Canadian economist and statistician who was a professor "chiara fama" of statistical sciences at the University of Bologna. She is known for her research on time series analysis, and in particular for developing the X-11-ARIMA method of seasonal adjustment, which became widely used and is a predecessor to X-12-ARIMA and later methods.
The Fay-Herriot model is a statistical model which includes some distinct variation for each of several subgroups of observations. It is an area-level model, meaning some input data are associated with aggregates -- regions, jurisdictions, or other subgroups, and the model produces estimates about the subgroups. The model is usually applied in the context of small area estimation in which there is a lot of data but not much on each subgroup.
