QuantLib: a free/open-source library for quantitative finance
fully annotated source code - version 1.34
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Statistic tool for sequences with discrepancy calculation. More...
#include <discrepancystatistics.hpp>
Public Types | |
typedef SequenceStatistics::value_type | value_type |
Public Types inherited from GenericSequenceStatistics< StatisticsType > | |
typedef StatisticsType | statistics_type |
typedef std::vector< typename StatisticsType::value_type > | value_type |
Public Member Functions | |
DiscrepancyStatistics (Size dimension) | |
Public Member Functions inherited from GenericSequenceStatistics< StatisticsType > | |
GenericSequenceStatistics (Size dimension=0) | |
Size | size () const |
Matrix | covariance () const |
returns the covariance Matrix More... | |
Matrix | correlation () const |
returns the correlation Matrix More... | |
Size | samples () const |
Real | weightSum () const |
std::vector< Real > | mean () const |
std::vector< Real > | variance () const |
std::vector< Real > | standardDeviation () const |
std::vector< Real > | downsideVariance () const |
std::vector< Real > | downsideDeviation () const |
std::vector< Real > | semiVariance () const |
std::vector< Real > | semiDeviation () const |
std::vector< Real > | errorEstimate () const |
std::vector< Real > | skewness () const |
std::vector< Real > | kurtosis () const |
std::vector< Real > | min () const |
std::vector< Real > | max () const |
std::vector< Real > | gaussianPercentile (Real y) const |
std::vector< Real > | percentile (Real y) const |
std::vector< Real > | gaussianPotentialUpside (Real percentile) const |
std::vector< Real > | potentialUpside (Real percentile) const |
std::vector< Real > | gaussianValueAtRisk (Real percentile) const |
std::vector< Real > | valueAtRisk (Real percentile) const |
std::vector< Real > | gaussianExpectedShortfall (Real percentile) const |
std::vector< Real > | expectedShortfall (Real percentile) const |
std::vector< Real > | regret (Real target) const |
std::vector< Real > | gaussianShortfall (Real target) const |
std::vector< Real > | shortfall (Real target) const |
std::vector< Real > | gaussianAverageShortfall (Real target) const |
std::vector< Real > | averageShortfall (Real target) const |
void | reset (Size dimension=0) |
template<class Sequence > | |
void | add (const Sequence &sample, Real weight=1.0) |
template<class Iterator > | |
void | add (Iterator begin, Iterator end, Real weight=1.0) |
1-dimensional inspectors | |
Real | adiscr_ |
Real | cdiscr_ |
Real | bdiscr_ |
Real | ddiscr_ |
Real | discrepancy () const |
template<class Sequence > | |
void | add (const Sequence &sample, Real weight=1.0) |
template<class Iterator > | |
void | add (Iterator begin, Iterator end, Real weight=1.0) |
void | reset (Size dimension=0) |
Additional Inherited Members | |
Protected Attributes inherited from GenericSequenceStatistics< StatisticsType > | |
Size | dimension_ = 0 |
std::vector< statistics_type > | stats_ |
std::vector< Real > | results_ |
Matrix | quadraticSum_ |
Statistic tool for sequences with discrepancy calculation.
It inherit from SequenceStatistics<Statistics> and adds \( L^2 \) discrepancy calculation
Definition at line 35 of file discrepancystatistics.hpp.
Definition at line 37 of file discrepancystatistics.hpp.
DiscrepancyStatistics | ( | Size | dimension | ) |
Real discrepancy | ( | ) | const |
void add | ( | const Sequence & | sample, |
Real | weight = 1.0 |
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Definition at line 45 of file discrepancystatistics.hpp.
void add | ( | Iterator | begin, |
Iterator | end, | ||
Real | weight = 1.0 |
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void reset | ( | Size | dimension = 0 | ) |
Definition at line 108 of file discrepancystatistics.hpp.
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mutableprivate |
Definition at line 96 of file discrepancystatistics.hpp.
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private |
Definition at line 96 of file discrepancystatistics.hpp.
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private |
Definition at line 97 of file discrepancystatistics.hpp.
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private |
Definition at line 97 of file discrepancystatistics.hpp.