2.5 Statistics Classes
The Essential Math Statistics Classes provide random number generators for a variety of probability distributions. These classes are contained in Table 4.
Table 4: The Statistics Classes
| Class Name | Description |
Constructs and maintains a histogram of input data. | |
Constructs a linear least squares fit to a straight line from input data, with or without weighting factors. | |
Generates random numbers uniformly distributed over the interval [0, 1]. | |
Generates random numbers uniformly distributed over the interval [0, 1], and may be used instead of class RWRandGenerator as a template parameter to any of the distribution generators derived from abstract base class RWTRand<>. | |
Generates random numbers uniformly distributed over the interval [0, 1], and may be used instead of class RWRandGenerator as a template parameter to any of the distribution generators derived from abstract base class RWTRand<>. | |
Generates random numbers uniformly distributed over the interval [0, 1], and may be used instead of class RWRandGenerator as a template parameter to any of the distribution generators derived from abstract base class RWTRand<>. | |
Generates random numbers uniformly distributed over the interval [0, 1], and may be used instead of class RWRandGenerator as a template parameter to any of the distribution generators derived from abstract base class RWTRand<>. | |
Generates random numbers uniformly distributed over the interval [0, 1], and may be used instead of class RWRandGenerator as a template parameter to any of the distribution generators derived from abstract base class RWTRand<>. | |
The abstract base class for the random number generator classes. The classes derived from RWTRand<Generator> generate random numbers from specific probability distributions. | |
Generates random numbers from a binomial distribution. | |
Generates random numbers from an exponential distribution. | |
Generates random numbers from a gamma distribution. | |
Generates random numbers from a normal distribution. | |
Generates random numbers from a Poisson distribution. | |
Generates random numbers from a uniform distribution in an interval [a, b]. |
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