Zipf Distribution Methods
            
            Methods
| Distribution | 
            Gets the probability of obtaining an outcome less than
            or equal to a specified value.
             (Overrides DiscreteDistribution.DistributionFunction(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)  | 
| Get | 
            Returns an array that contains all the modes of the distribution.
             (Inherited from DiscreteDistribution)  | 
| Get | 
            Returns a histogram whose bins contain the expected number of samples
            from the distribution for a given total number of samples.
             (Inherited from DiscreteDistribution)  | 
| Get | 
            Returns a histogram whose bins contain the expected number of samples
            from the distribution for a given total number of samples.
             (Inherited from DiscreteDistribution)  | 
| Get | 
            Returns a histogram whose bins contain the expected number of samples
            from the distribution for a given total number of samples.
             (Inherited from DiscreteDistribution)  | 
| Get | Serves as the default hash function. (Inherited from Object)  | 
| Get | 
            Returns a sequence of random samples from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Get | 
            Returns a sequence of random samples from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Get | 
            Returns a sequence of random samples of the specified length from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Get | Gets the Type of the current instance. (Inherited from Object)  | 
| Inverse | 
            Returns the inverse of the distribution function.
             (Inherited from DiscreteDistribution)  | 
| Left | 
            Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
             (Inherited from DiscreteDistribution)  | 
| Log | 
            Returns the logarithm of the probability of obtaining 
            a specific integer value in the distribution.
             (Overrides DiscreteDistribution.LogProbability(Int32))  | 
| Memberwise | Creates a shallow copy of the current Object. (Inherited from Object)  | 
| Probability( | 
            Returns the probability of obtaining a specific integer
            value in the distribution.
             (Overrides DiscreteDistribution.Probability(Int32))  | 
| Probability( | 
            Gets the probability of obtaining a sample that falls
            within the specified interval from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Right | 
            Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
             (Inherited from DiscreteDistribution)  | 
| Sample() | 
            Returns a random sample from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Sample( | 
            Returns a vector of random samples from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Sample( | 
            Returns a random sample from the distribution.
             (Overrides DiscreteDistribution.Sample(Random))  | 
| Sample( | 
            Returns a vector of random samples from the distribution.
             (Inherited from DiscreteDistribution)  | 
| Sample( | 
            Fills an Int32 array with random numbers.
             (Inherited from DiscreteDistribution)  | 
| Sample( | 
            Fills an Int32 array with random numbers from this DiscreteDistribution.
             (Inherited from DiscreteDistribution)  | 
| ToString | Returns a string that represents the current object. (Inherited from Object)  | 
| Two | 
            Gets the probability of obtaining a sample that is less than or less than or equal to the specified upper bound.
             (Inherited from DiscreteDistribution)  |