| /third_party/boost/libs/serialization/example/ |
| D | demo_exception.cpp | 55 class Student;
57 class Student class
61 Student(){ in Student() function in Student
64 ~Student(){ in ~Student()
77 int Student::count = 0;
92 std::list<Student *> some_students;
109 std::for_each(all_students.begin(), all_students.end(), deleter<Student *>()); in ~School()
115 std::list<Student *> all_students;
178 Student *bob = new Student(); in init()
179 Student *ted = new Student(); in init()
[all …]
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| /third_party/boost/libs/hana/example/tutorial/ |
| D | integral-branching.cpp | 41 struct Student { struct
49 std::unique_ptr<Student> b = ns1::make_unique<Student>("Bob", 25); in main() argument
53 std::unique_ptr<Student> b = ns2::make_unique<Student>("Bob", 25); in main()
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| /third_party/boost/libs/math/doc/distributions/ |
| D | students_t.qbk | 36 Student's t-distribution is a statistical distribution published by William Gosset in 1908.
39 so he chose "Student".
47 [@https://en.wikipedia.org/wiki/Student%27s_t-distribution Student's t-distribution]
54 The Student's t-distribution takes a single parameter: the number of
67 Constructs a Student's t-distribution with /v/ degrees of freedom.
86 result in the Student's t test when the mean differs from the "true"
98 would be the sample size of a previous borderline Student's t test.]]
118 …h_toolkit.stat_tut.weg.st_eg worked examples] are available illustrating the use of the Student's t
175 as suggested by [@http://en.wikipedia.org/wiki/Student%27s_t-distribution Wikipedia Student's t],
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| D | nc_t.qbk | 122 (equivalent to the central Student's t distribution)
169 Student's t distribution centred on [delta] when [nu] is very large.
179 leaving just Student's t distribution centred on [delta].
201 Weisstein, Eric W. "Noncentral Student's t-Distribution."
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| D | students_t_examples.qbk | 2 [section:st_eg Student's t Distribution Examples]
304 Student t test for a single sample
342 Student t test for a single sample
372 Student t test for a single sample
644 Student t test for two samples (equal variances)
689 parameter to the Student's t distribution is a real number, and not an
722 Student t test for two samples (unequal variances)
751 [section:paired_st Comparing two paired samples with the Student's t distribution]
774 [endsect] [/section:paired_st Comparing two paired samples with the Student's t distribution]
777 [endsect] [/section:st_eg Student's t]
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| D | dist_tutorial.qbk | 342 rejecting the null-hypothesis in the Student's t test to be 1 in 1 billion,
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| /third_party/python/Doc/howto/ |
| D | sorting.rst | 84 >>> class Student:
93 ... Student('john', 'A', 15),
94 ... Student('jane', 'B', 12),
95 ... Student('dave', 'B', 10),
334 >>> Student.__lt__ = lambda self, other: self.age < other.age
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| /third_party/boost/libs/math/doc/statistics/ |
| D | t_test.qbk | 40 Under reasonable assumptions, the test statistic /t/ can be assumed to come from a Student's /t/-di…
42 Hence the /p/-value is straightforward to calculate from the Student's /t/-distribution on /n/ - 1 …
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| /third_party/e2fsprogs/debian/ |
| D | libss2.copyright | 12 Copyright 1987, 1988 by the Student Information Processing Board
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| D | libcom-err2.copyright | 11 Copyright 1987, 1988 by the Student Information Processing Board
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| D | copyright | 35 Copyright 1987 by the Student Information Processing Board
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| /third_party/python/Doc/library/ |
| D | struct.rst | 364 >>> Student = namedtuple('Student', 'name serialnum school gradelevel')
365 >>> Student._make(unpack('<10sHHb', record))
366 Student(name=b'raymond ', serialnum=4658, school=264, gradelevel=8)
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| D | typing.rst | 2043 class Student(NamedTuple):
2046 get_type_hints(Student) == {'name': str}
2047 get_type_hints(Student, include_extras=False) == {'name': str}
2048 get_type_hints(Student, include_extras=True) == {
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| D | functools.rst | 267 class Student:
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| /third_party/grpc/summerofcode/2016/ |
| D | siddharth_shukla.md | 60 - Student: [Siddharth Shukla](https://github.com/thunderboltsid)
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| /third_party/boost/libs/math/doc/overview/ |
| D | roadmap.qbk | 34 * Added [link math_toolkit.t_test One Sample Student's T Test].
88 * Fix typo in Student's T hypothesis testing documentation, see [@https://github.com/boostorg/math/…
239 * Fixed buggy Student's t example code, along with docs for testing sample means for equivalence.
258 * Fixed Student's T distribution to behave correctly with huge degrees of freedom (larger than the …
263 …lts in cancellation errors when the beta function is really an arcsine or Student's T distribution.
419 * Fixed numerical error in the quantile of the Student's T distribution: the function was
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| D | issues.qbk | 63 * Student's t Perhaps switch to normal distribution
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| D | error_handling.qbk | 174 (negative degrees of freedom) to Student's t distribution
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| /third_party/boost/libs/random/doc/ |
| D | distributions.qbk | 92 [[__student_t_distribution][Student t distribution][-]]
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| /third_party/e2fsprogs/lib/et/ |
| D | com_err.texinfo | 36 Copyright (C) 1987, 1988 Student Information Processing Board of the
71 @center MIT Student Information Processing Board
95 Copyright @copyright{} 1987, 1988 by the Student Information Processing
526 Zanarotti and several others of MIT's Student Information Processing Board,
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| /third_party/node/doc/guides/ |
| D | writing-and-running-benchmarks.md | 563 [t-test]: https://en.wikipedia.org/wiki/Student%27s_t-test#Equal_or_unequal_sample_sizes.2C_unequal…
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| /third_party/boost/libs/math/doc/background/ |
| D | implementation.qbk | 398 lognormal, normal, Pareto, Student's t, triangular, uniform, and Weibull.]
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| /third_party/python/Doc/whatsnew/ |
| D | 3.2.rst | 810 class Student:
|