Binomial |
public class BinomialDistribution : DiscreteDistribution
The BinomialDistribution type exposes the following members.
Name | Description | |
---|---|---|
BinomialDistribution | Initializes a new instance of the BinomialDistribution class | |
BinomialDistribution(Generator) | Initializes a new instance of the BinomialDistribution class | |
BinomialDistribution(Int32, Double) | Initializes a new instance of the BinomialDistribution class | |
BinomialDistribution(Int32, Double, Generator) | Initializes a new instance of the BinomialDistribution class |
Name | Description | |
---|---|---|
CanReset |
Gets a value indicating whether the random number distribution can be reset, so that it produces the same
random number sequence again.
(Inherited from Distribution) | |
Generator |
Gets or sets a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) | |
Maximum |
Gets the maximum possible value of binomial distributed random numbers.
(Overrides DistributionMaximum) | |
Mean |
Gets the mean value of binomial distributed random numbers.
(Overrides DistributionMean) | |
Median |
Gets the median of binomial distributed random numbers.
(Overrides DistributionMedian) | |
Minimum |
Gets the minimum possible value of binomial distributed random numbers.
(Overrides DistributionMinimum) | |
Mode |
Gets the mode of binomial distributed random numbers.
(Overrides DistributionMode) | |
Number | Gets the parameter 'maximum value' of this distribution. | |
Probability | Gets the parameter 'probability' of this distribution. | |
Variance |
Gets the variance of binomial distributed random numbers.
(Overrides DistributionVariance) |
Name | Description | |
---|---|---|
CDF(Double) | (Overrides DiscreteDistributionCDF(Double)) | |
CDF(Double, Double, Int32) | ||
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) | |
GetHashCode | Serves as the default hash function. (Inherited from Object) | |
GetType | Gets the Type of the current instance. (Inherited from Object) | |
Initialize | ||
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) | |
NextDouble | (Overrides DistributionNextDouble) | |
PDF(Double) | (Overrides DiscreteDistributionPDF(Double)) | |
PDF(Double, Double, Int32) | ||
Quantile | (Overrides DiscreteDistributionQuantile(Double)) | |
Reset |
Resets the random number distribution, so that it produces the same random number sequence again.
(Inherited from Distribution) | |
ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
---|---|---|
en | ||
en1 | ||
gamen1 | ||
generator |
Stores a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) | |
n | ||
np | ||
npexp | ||
p | ||
pc | ||
pclog | ||
plog | ||
scale | ||
scalepi | ||
sq | ||
sym |
Returns a binomial distributed deviate (integer returned in a double) according to the distribution: j+eps / n \ j n-j integral p (m) dm = | | q (1-q) j-eps n,q \ j / References: D. E. Knuth: The Art of Computer Programming, Vol. 2, Seminumerical Algorithms, pp. 120, 2nd edition, 1981. // W. H. Press, B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Numerical Recipies in C, Cambridge Univ. Press, 1988.