Struct sim::output_analysis::IndependentSample[][src]

pub struct IndependentSample<T> { /* fields omitted */ }
Expand description

The independent sample is for independent, identically-distributed (IID) samples, or where treating the data as an IID sample is determined to be reasonable. Typically, this will be non-time series data - no autocorrelation. There are no additional requirements on the data beyond being IID. For example, there are no normality assumptions. The TerminatingSimulationOutput or SteadyStateOutput structs are available for non-IID output analysis.

Implementations

This constructor method creates an IndependentSample from a vector of floating point values.

Calculate the confidence interval of the mean, base on the provided value of alpha.

Return the sample mean.

Return the sample variance.

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Formats the value using the given formatter. Read more

Returns the “default value” for a type. Read more

Deserialize this value from the given Serde deserializer. Read more

Serialize this value into the given Serde serializer. Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

🔬 This is a nightly-only experimental API. (toowned_clone_into)

recently added

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.