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  2. Seasonal subseries plot - Wikipedia

    en.wikipedia.org/wiki/Seasonal_subseries_plot

    Based on a selected periodicity, it is an alternative plot that emphasizes the seasonal patterns are where the data for each season are collected together in separate mini time plots. Seasonal subseries plots enables the underlying seasonal pattern to be seen clearly, and also shows the changes in seasonality over time. [ 2 ]

  3. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    This is an important technique for all types of time series analysis, especially for seasonal adjustment. [2] It seeks to construct, from an observed time series, a number of component series (that could be used to reconstruct the original by additions or multiplications) where each of these has a certain characteristic or type of behavior.

  4. X-13ARIMA-SEATS - Wikipedia

    en.wikipedia.org/wiki/X-13ARIMA-SEATS

    X-13ARIMA-SEATS, successor to X-12-ARIMA and X-11, is a set of statistical methods for seasonal adjustment and other descriptive analysis of time series data that are implemented in the U.S. Census Bureau's software package. [3]

  5. Box–Jenkins method - Wikipedia

    en.wikipedia.org/wiki/Box–Jenkins_method

    A First Course on Time Series Analysis – an open source book on time series analysis with SAS (Chapter 7) Box–Jenkins models in the Engineering Statistics Handbook of NIST; Box–Jenkins modelling by Rob J Hyndman; The Box–Jenkins methodology for time series models by Theresa Hoang Diem Ngo

  6. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    Prediction intervals are commonly used as definitions of reference ranges, such as reference ranges for blood tests to give an idea of whether a blood test is normal or not. For this purpose, the most commonly used prediction interval is the 95% prediction interval, and a reference range based on it can be called a standard reference range.

  7. Autoregressive moving-average model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_moving...

    In the statistical analysis of time series, autoregressive–moving-average (ARMA) models are a way to describe a (weakly) stationary stochastic process using autoregression (AR) and a moving average (MA), each with a polynomial. They are a tool for understanding a series and predicting future values.

  8. Time series database - Wikipedia

    en.wikipedia.org/wiki/Time_series_database

    A time series database is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s). [1] In some fields, time series may be called profiles, curves, traces or trends. [ 2 ]

  9. Category:Time series statistical tests - Wikipedia

    en.wikipedia.org/wiki/Category:Time_series...

    It should only contain pages that are Time series statistical tests or lists of Time series statistical tests, as well as subcategories containing those things (themselves set categories). Topics about Time series statistical tests in general should be placed in relevant topic categories .