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refs:distribution
(Results
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/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
DiscreteDistribution.java
17
package org.apache.commons.math.
distribution
;
25
public interface DiscreteDistribution extends
Distribution
{
28
* to this
distribution
, this method returns P(X = x). In other words, this
29
* method represents the probability mass function, or PMF for the
distribution
.
TDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* Student's t-
Distribution
.
25
* <li><a href="http://mathworld.wolfram.com/Studentst-
Distribution
.html">
26
* Student's t-
Distribution
</a></li>
BinomialDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* The Binomial
Distribution
.
26
* Binomial
Distribution
</a></li>
34
* Access the number of trials for this
distribution
.
40
* Access the probability of success for this
distribution
.
46
* Change the number of trials for this
distribution
.
54
* Change the probability of success for this
distribution
.
CauchyDistribution.java
18
package org.apache.commons.math.
distribution
;
21
* Cauchy
Distribution
.
27
* Cauchy
Distribution
</a></li>
38
* @return median for this
distribution
44
* @return scale parameter for this
distribution
50
* @param median for this
distribution
58
* @param s scale parameter for this
distribution
ChiSquaredDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* The Chi-Squared
Distribution
.
26
* Chi-Squared
Distribution
</a></li>
ContinuousDistribution.java
17
package org.apache.commons.math.
distribution
;
28
* 2.1, all continuous
distribution
implementations included in commons-math
33
public interface ContinuousDistribution extends
Distribution
{
36
* For this
distribution
, X, this method returns x such that P(X < x) = p.
Distribution.java
17
package org.apache.commons.math.
distribution
;
26
public interface
Distribution
{
29
* to this
distribution
, this method returns P(X ≤ x). In other words,
30
* this method represents the (cumulative)
distribution
function, or
31
* CDF, for this
distribution
.
33
* @param x the value at which the
distribution
function is evaluated.
35
*
distribution
takes a value less than or equal to <code>x</code>
43
* to this
distribution
, this method returns P(x0 ≤ X ≤ x1).
47
* @return the probability that a random variable with this
distribution
ExponentialDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* The Exponential
Distribution
.
26
* Exponential
Distribution
</a></li>
FDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* F-
Distribution
.
25
* <li><a href="http://mathworld.wolfram.com/F-
Distribution
.html">
26
* F-
Distribution
</a></li>
GammaDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* The Gamma
Distribution
.
26
* Gamma
Distribution
</a></li>
HasDensity.java
18
package org.apache.commons.math.
distribution
;
23
* <p>Interface that signals that a
distribution
can compute the probability density function
HypergeometricDistribution.java
18
package org.apache.commons.math.
distribution
;
21
* The Hypergeometric
Distribution
.
27
* Hypergeometric
Distribution
</a></li>
NormalDistribution.java
18
package org.apache.commons.math.
distribution
;
21
* Normal (Gauss)
Distribution
.
27
* Normal
Distribution
</a></li>
36
* @return mean for this
distribution
41
* @param mean for this
distribution
48
* @return standard deviation for this
distribution
53
* @param sd standard deviation for this
distribution
PascalDistribution.java
17
package org.apache.commons.math.
distribution
;
20
* The Pascal
distribution
. The Pascal
distribution
is a special case of the
21
* Negative Binomial
distribution
where the number of successes parameter is an
24
* There are various ways to express the probability mass and
distribution
25
* functions for the Pascal
distribution
. The convention employed by the
33
* Negative Binomial
Distribution
</a></li>
43
* Access the number of successes for this
distribution
.
50
* Access the probability of success for this
distribution
.
57
* Change the number of successes for this
distribution
[
all
...]
PoissonDistribution.java
17
package org.apache.commons.math.
distribution
;
22
* Interface representing the Poisson
Distribution
.
28
* Poisson
distribution
</a></li>
37
* Get the mean for the
distribution
.
39
* @return the mean for the
distribution
.
44
* Set the mean for the
distribution
.
56
* Calculates the Poisson
distribution
function using a normal approximation.
59
* @return the
distribution
function value calculated using a normal approximation
WeibullDistribution.java
18
package org.apache.commons.math.
distribution
;
21
* Weibull
Distribution
. This interface defines the two parameter form of the
22
*
distribution
as defined by
24
* Weibull
Distribution
</a>, equations (1) and (2).
30
* Weibull
Distribution
</a></li>
ZipfDistribution.java
18
package org.apache.commons.math.
distribution
;
21
* The Zipf (or zeta)
Distribution
.
26
*
Distribution
</a></li>
35
* Get the number of elements (e.g. corpus size) for the
distribution
.
42
* Set the number of elements (e.g. corpus size) for the
distribution
.
54
* Get the exponent characterising the
distribution
.
61
* Set the exponent characterising the
distribution
.
BetaDistribution.java
17
package org.apache.commons.math.
distribution
;
IntegerDistribution.java
17
package org.apache.commons.math.
distribution
;
29
* to this
distribution
, this method returns P(X = x). In other words, this
30
* method represents the probability mass function for the
distribution
.
39
* to this
distribution
, this method returns P(X ≤ x). In other words,
40
* this method represents the probability
distribution
function, or PDF
41
* for the
distribution
.
44
* @return PDF for this
distribution
.
51
* For this
distribution
, X, this method returns P(x0 ≤ X ≤ x1).
62
* For this
distribution
, X, this method returns the largest x such that
/external/eigen/doc/special_examples/
random_cpp11.cpp
9
std::poisson_distribution<int>
distribution
(4.1);
10
auto poisson = [&] () {return
distribution
(generator);};
/packages/inputmethods/LatinIME/native/jni/tests/suggest/core/layout/
normal_distribution_2d_test.cpp
33
const NormalDistribution2D
distribution
(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
38
// The probability density of the point near the
distribution
center is larger than the
39
// probability density of the point that is far from
distribution
center.
40
EXPECT_GE(
distribution
.getProbabilityDensity(SMALL_COORDINATE, SMALL_COORDINATE),
41
distribution
.getProbabilityDensity(LARGE_COORDINATE, LARGE_COORDINATE));
45
EXPECT_GE(
distribution
.getProbabilityDensity(LARGE_COORDINATE, SMALL_COORDINATE),
46
distribution
.getProbabilityDensity(SMALL_COORDINATE, LARGE_COORDINATE));
52
const NormalDistribution2D
distribution
(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
58
// The probability density of the rotated
distribution
at the point and the probability
59
// density of the original
distribution
at the rotated point are the same
[
all
...]
/packages/inputmethods/LatinIME/native/jni/tests/dictionary/utils/
bloom_filter_test.cpp
38
// Use the uniform integer
distribution
[0, TEST_RANDOM_DATA_MAX].
39
std::uniform_int_distribution<int>
distribution
(0, TEST_RANDOM_DATA_MAX);
40
auto randomNumberGenerator = std::bind(
distribution
, std::mt19937());
55
// Use the uniform integer
distribution
[0, 1].
56
std::uniform_int_distribution<int>
distribution
(0, 1);
57
auto randomBitGenerator = std::bind(
distribution
, std::mt19937());
/build/kati/
affinity.cc
34
std::uniform_int_distribution<int>
distribution
(0,g_flags.num_cpus-1);
35
int cpu =
distribution
(generator);
/device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/command/
install_headers.py
36
headers = self.
distribution
.headers
46
return self.
distribution
.headers or []
/device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/tests/
test_install_lib.py
62
cmd.
distribution
.py_modules = [pkg_dir]
63
cmd.
distribution
.ext_modules = [Extension('foo', ['xxx'])]
64
cmd.
distribution
.packages = [pkg_dir]
65
cmd.
distribution
.script_name = 'setup.py'
79
cmd.
distribution
.py_modules = [pkg_dir]
80
cmd.
distribution
.ext_modules = [Extension('foo', ['xxx'])]
81
cmd.
distribution
.packages = [pkg_dir]
82
cmd.
distribution
.script_name = 'setup.py'
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