Statistical in the context of Federal Statistical Office of Germany

The Central Bureau of Statistics (CBS) (Arabic: المكتب المركزي للإحصاء) is the statistical agency responsible for the gathering of "information relating to economic, social and general activities and conditions" in the Syrian Arab Republic. The office is answerable to the office of the Prime Minister and has its main offices in Damascus. The CBS was established in 2005 and is administered by an administrative council headed by the deputy prime minister for economic affairs.

After the Syrian government began reconstructing infrastructure in 2011, the bureau began releasing data from 2011 to 2018.

United States micropolitan statistical areas (μSA, where the initial Greek letter mu represents "micro-"), as defined by the Office of Management and Budget (OMB), are labor market and statistical areas in the United States centered on an urban cluster (urban area) with a population of at least 10,000 but fewer than 50,000 people. The micropolitan area designation was created in 2003. Like the better-known metropolitan statistical areas, a micropolitan area is a geographic entity used for statistical purposes based on counties and county equivalents. On July 21, 2023, the Office of Management and Budget released revised delineations of the various core-based statistical areas (CBSAs) in the United States, which recognized 542 micropolitan areas in the United States, four of which are in Puerto Rico.

The term "micropolitan" gained currency in the 1990s to describe growing population centers in the United States that are removed from larger cities, in some cases by 100 miles (160 km) or more.

The International Standard Classification of Education (ISCED) is a statistical framework for organizing information on education maintained by the United Nations Educational, Scientific and Cultural Organization (UNESCO). It is a member of the international family of economic and social classifications of the United Nations.

The Central Statistics Office (CSO; Irish: An Phríomh-Oifig Staidrimh) is the statistical agency responsible for the gathering of "information relating to economic, social and general activities and conditions" in the Republic of Ireland (it does not operate in Northern Ireland), in particular the census which is held every five years. The office is answerable to the Taoiseach and has its main offices in Cork. The Director General of the CSO is Jennifer Banim.

Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), Journal of Interdisciplinary History (1968– ), the Social Science History (1976– ), and Cliodynamics: The Journal of Quantitative History and Cultural Evolution (2010– ).

Quantitative historians use databases as their main sources of information. Large quantities of political, economic and demographic data are available in print or manuscript format, such as census information on individuals, and election returns. Large quantities have been converted into computer databases. The largest repository presently is the Inter-university Consortium for Political and Social Research (ICPSR) of the University of Michigan, which provides access to an extensive collection of downloadable political and social data for the United States and the world. Quantitative historians use statistical methods to find patterns of human behavior covering all sectors of society, not just the elites who create documents preserved in traditional archive.

Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

A methodological advisor or statistical consultant provides methodological and statistical advice and guidance to clients or colleagues interested in making decisions regarding the design of studies, the collection and analysis of data, and the presentation and dissemination of research findings. Trained in both methods and statistics, and communication skills, advisors may work in academia, industry, or the public sector.

Economic data are data describing an actual economy, past or present. These are typically found in time-series form, that is, covering more than one time period (say the monthly unemployment rate for the last five years) or in cross-sectional data in one time period (say for consumption and income levels for sample households). Data may also be collected from surveys of for example individuals and firms or aggregated to sectors and industries of a single economy or for the international economy. A collection of such data in table form comprises a data set.

Methodological economic and statistical elements of the subject include measurement, collection, analysis, and publication of data. 'Economic statistics' may also refer to a subtopic of official statistics produced by official organizations (e.g. statistical institutes, intergovernmental organizations such as United Nations, European Union or OECD, central banks, ministries, etc.). Economic data provide an empirical basis for economic research, whether descriptive or econometric. Data archives are also a key input for assessing the replicability of empirical findings and for use in decision making as to economic policy.

The Haut Commissariat au Plan (HCP; Arabic: المندوبية السامية للتخطيط, romanized: al-Mandūbiyya as-sāmiyya li-t-taḫṭīṭ) or Higher Planning Commission in Morocco is an independent government statistical institution. Established in 2003, HCP is the main source of economic, demographic and social statistical data.

Ergodic theory is a branch of mathematics that studies statistical properties of deterministic dynamical systems; it is the study of ergodicity. In this context, "statistical properties" refers to properties which are expressed through the behavior of time averages of various functions along trajectories of dynamical systems. The notion of deterministic dynamical systems assumes that the equations determining the dynamics do not contain any random perturbations, noise, etc. Thus, the statistics with which we are concerned are properties of the dynamics.

Ergodic theory, like probability theory, is based on general notions of measure theory. Its initial development was motivated by problems of statistical physics.

In mathematics, nonlinear modelling is empirical or semi-empirical modelling which takes at least some nonlinearities into account. Nonlinear modelling in practice therefore means modelling of phenomena in which independent variables affecting the system can show complex and synergetic nonlinear effects. Contrary to traditional modelling methods, such as linear regression and basic statistical methods, nonlinear modelling can be utilized efficiently in a vast number of situations where traditional modelling is impractical or impossible. The newer nonlinear modelling approaches include non-parametric methods, such as feedforward neural networks, kernel regression, multivariate splines, etc., which do not require a prior knowledge of the nonlinearities in the relations. Thus the nonlinear modelling can utilize production data or experimental results while taking into account complex nonlinear behaviours of modelled phenomena which are in most cases practically impossible to be modelled by means of traditional mathematical approaches, such as phenomenological modelling.

Contrary to phenomenological modelling, nonlinear modelling can be utilized in processes and systems where the theory is deficient or there is a lack of fundamental understanding on the root causes of most crucial factors on system. Phenomenological modelling describes a system in terms of laws of nature. Nonlinear modelling can be utilized in situations where the phenomena are not well understood or expressed in mathematical terms. Thus nonlinear modelling can be an efficient way to model new and complex situations where relationships of different variables are not known.