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TD_ARIMAESTIMATE

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Draft Latest edits on 
Mar 28, 2024 5:15 PM
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ARIMAESTIMATE function performs parameter estimation for both seasonal and non-seasonal AR (auto-regressive), MA (moving-average), combined ARMA, as ARIMA models. It supports the seasonally extended Box and Jenkins ARIMA model formula. Both 'continuous' and 'non-continuous' AR and MA models are supported - where 'continuous' means that the associated 'lags' are continuous, and non-continuous means the associated lags are non-continuous.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    Input
    Passed in a logical univariate series, this function estimates the coefficients corresponding to the ARMA model
  3. Type: Table
    Input2
    Passed in a logical univariate series, this function estimates the coefficients corresponding to the ARMA model
Output ports
  1. Type: Table
    output of TD_ARIMAESTIMATE
    output of TD_ARIMAESTIMATE

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime

This component does not have nodes, extensions, nested components and related workflows

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