Discrete Distribution.Get Expected Histogram Method
Definition
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Overload List
Get | Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples. |
Get | Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples. |
Get | Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples. |
GetExpectedHistogram(Index<Interval<Int32>>, Double)
public Histogram<Interval<int>> GetExpectedHistogram(
Index<Interval<int>> index,
double numberOfSamples
)
Parameters
- index Index<Interval<Int32>>
- An interval index that specifies the bins in the histogram.
- numberOfSamples Double
- The total number of samples.
Return Value
Histogram<Interval<Int32>>A vector.
Remarks
The total in each bin is the expectation value of the number of samples in the bin when numberOfSamples samples are taken from the distribution.
GetExpectedHistogram(Index<Int32>, Double)
public Histogram<int> GetExpectedHistogram(
Index<int> index,
double numberOfSamples
)
Parameters
- index Index<Int32>
- An interval index that specifies the bins in the histogram.
- numberOfSamples Double
- The total number of samples.
Return Value
Histogram<Int32>A vector.
Remarks
The total in each bin is the expectation value of the number of samples in the bin when numberOfSamples samples are taken from the distribution.
GetExpectedHistogram(Int32, Int32, Double)
public Histogram<int> GetExpectedHistogram(
int lowerBound,
int upperBound,
double numberOfSamples
)
Parameters
- lowerBound Int32
- The lower bound of the histogram.
- upperBound Int32
- The exclusive upper bound of the histogram.
- numberOfSamples Double
- The total number of samples.
Return Value
Histogram<Int32>A vector.
Remarks
This method constructs a histogram with unit bins from lowerBound up to upperBound.
The total in each bin is the expectation value of the number of samples in the bin when numberOfSamples samples are taken from the distribution.