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