Integration

Integration may refer to:

Sociology and economy

  • Social integration, in social sciences, is the movement of refugees and underprivileged sections of a society into the mainstream of societies
  • Racial integration, refers to social and cultural behavior
  • Economic integration, refers to trade unification between different states
  • Educational integration of students with disabilities
  • Regional integration, a process in which states enter into a regional agreement in order to enhance regional cooperation through regional institutions and rules
  • Horizontal integration and vertical integration, in microeconomics and strategic management, refer to a style of ownership and control
  • Integration clause, in a contract, a term used to declare the contract the final and complete understanding of the parties
  • Integrated production
  • A step in the process of money laundering
  • Mathematics

  • Integration, in mathematics, the computation of a definite integral, a fundamental concept of calculus, which allows, among many other uses, computing areas and averaging continuous functions.
  • Autoregressive integrated moving average

    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. These models are fitted to time series data either to better understand the data or to predict future points in the series (forecasting). They are applied in some cases where data show evidence of non-stationarity, where an initial differencing step (corresponding to the "integrated" part of the model) can be applied to reduce the non-stationarity.

    Non-seasonal ARIMA models are generally denoted ARIMA(p, d, q) where parameters p, d, and q are non-negative integers, p is the order of the Autoregressive model, d is the degree of differencing, and q is the order of the Moving-average model. Seasonal ARIMA models are usually denoted ARIMA(p, d, q)(P, D, Q)_m, where m refers to the number of periods in each season, and the uppercase P, D, Q refer to the autoregressive, differencing, and moving average terms for the seasonal part of the ARIMA model. ARIMA models form an important part of the Box-Jenkins approach to time-series modelling.

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