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The ti(student_t_distribution<RealType = double>) is a probability
distribution that is used when estimating the mean of a normally distributed
population from small sample sizes.
It is characterized by one parameter: the degrees of freedom, which is equal
to the sample size - 1.
Defined types:
verb( using result_type = RealType;
struct param_type
{
explicit param_type(RealType n = RealType(1));
RealType n() const; // The degrees of freedom
};)
Constructors and members:
itemization(
itt(student_t_distribution<>(RealType n = RealType(1)))
constructs a student_t distribution with indicated degrees of freedom.
itt(student_t_distribution<>(param_type const ¶m))
constructs a student_t distribution according to the values stored in
the tt(param) struct.
itt(RealType n() const)nl()
returns the degrees of freedom;
itt(result_type min() const)nl()
returns 0;
itt(result_type max() const)nl()
returns the maximum value of tt(result_type);
)
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