/// <summary>
/// Evaluates the population standard deviation from the provided full population.
/// On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
/// Returns NaN if data is empty or if any entry is NaN.
/// </summary>
/// <param name="population">The full population data.</param>
public static double PopulationStandardDeviation(this IEnumerable <double> population)
{
var array = population as double[];
return(array != null
? ArrayStatistics.PopulationStandardDeviation(array)
: StreamingStatistics.PopulationStandardDeviation(population));
}
/// <summary>
/// Evaluates the population standard deviation from the provided full population.
/// On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
/// Returns NaN if data is empty or if any entry is NaN.
/// Null-entries are ignored.
/// </summary>
/// <param name="population">The full population data.</param>
public static double PopulationStandardDeviation(this IEnumerable <double?> population)
{
if (population == null)
{
throw new ArgumentNullException("population");
}
return(StreamingStatistics.PopulationStandardDeviation(population.Where(d => d.HasValue).Select(d => d.Value)));
}
/// <summary>
/// Evaluates the population standard deviation from the provided full population.
/// On a dataset of size N will use an N normalizer and would thus be biased if applied to a subset.
/// Returns NaN if data is empty or if any entry is NaN.
/// Null-entries are ignored.
/// </summary>
/// <param name="population">The full population data.</param>
public static double PopulationStandardDeviation(this IEnumerable <double?> population)
{
return(StreamingStatistics.PopulationStandardDeviation(population.Where(d => d.HasValue).Select(d => d.Value)));
}
