Table Of Contents

Continuous Moments (Lognormal) (G Dataflow)

Version:
    Last Modified: March 15, 2017

    Calculates the mean and variance of a lognormal-distributed variate.

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    b

    Scale or median parameter of the variate.

    This input must be greater than 0.

    Default: 1

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    c

    Shape parameter of the variate.

    This input must be greater than 0.

    Default: 0.6

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    error in

    Error conditions that occur before this node runs.

    The node responds to this input according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Default: No error

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    mean

    Expected mean of the variate.

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    variance

    Expected variance of the variate.

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    error out

    Error information.

    The node produces this output according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Algorithm for Calculating the Mean and Variance of a Lognormal-Distributed Variate

    This node uses the following equations to calculate the mean and variance of a lognormal-distributed variate.

    mean = b exp ( 1 2 c 2 )
    variance = b 2 exp ( c 2 ) [ exp ( c 2 ) 1 ]

    where b is the scale parameter of the variate and c is the shape parameter of the variate.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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