# SOME DESCRIPTIVE TITLE.
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# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
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#: ../../source/reference/tensor/generated/mars.tensor.random.power.rst:2
msgid "mars.tensor.random.power"
msgstr ""

#: mars.tensor.random.power:1 of
msgid ""
"Draws samples in [0, 1] from a power distribution with positive exponent "
"a - 1."
msgstr ""

#: mars.tensor.random.power:4 of
msgid "Also known as the power function distribution."
msgstr ""

#: mars.tensor.random.power of
msgid "Parameters"
msgstr ""

#: mars.tensor.random.power:6 of
msgid "Parameter of the distribution. Should be greater than zero."
msgstr ""

#: mars.tensor.random.power:8 of
msgid ""
"Output shape.  If the given shape is, e.g., ``(m, n, k)``, then ``m * n *"
" k`` samples are drawn.  If size is ``None`` (default), a single value is"
" returned if ``a`` is a scalar.  Otherwise, ``mt.array(a).size`` samples "
"are drawn."
msgstr ""

#: mars.tensor.random.power:13 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.power:15 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.power:17 of
msgid "Data-type of the returned tensor."
msgstr ""

#: mars.tensor.random.power of
msgid "Returns"
msgstr ""

#: mars.tensor.random.power:20 of
msgid "**out** -- Drawn samples from the parameterized power distribution."
msgstr ""

#: mars.tensor.random.power of
msgid "Return type"
msgstr ""

#: mars.tensor.random.power of
msgid "Raises"
msgstr ""

#: mars.tensor.random.power:23 of
msgid "If a < 1."
msgstr ""

#: mars.tensor.random.power:26 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.power:27 of
msgid "The probability density function is"
msgstr ""

#: mars.tensor.random.power:29 of
msgid "P(x; a) = ax^{a-1}, 0 \\le x \\le 1, a>0."
msgstr ""

#: mars.tensor.random.power:31 of
msgid ""
"The power function distribution is just the inverse of the Pareto "
"distribution. It may also be seen as a special case of the Beta "
"distribution."
msgstr ""

#: mars.tensor.random.power:35 of
msgid ""
"It is used, for example, in modeling the over-reporting of insurance "
"claims."
msgstr ""

#: mars.tensor.random.power:39 of
msgid "References"
msgstr ""

#: mars.tensor.random.power:40 of
msgid ""
"Christian Kleiber, Samuel Kotz, \"Statistical size distributions in "
"economics and actuarial sciences\", Wiley, 2003."
msgstr ""

#: mars.tensor.random.power:42 of
msgid ""
"Heckert, N. A. and Filliben, James J. \"NIST Handbook 148: Dataplot "
"Reference Manual, Volume 2: Let Subcommands and Library Functions\", "
"National Institute of Standards and Technology Handbook Series, June "
"2003. "
"http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/powpdf.pdf"
msgstr ""

#: mars.tensor.random.power:49 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.power:50 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.power:58 of
msgid ""
"Display the histogram of the samples, along with the probability density "
"function:"
msgstr ""

#: mars.tensor.random.power:69 of
msgid "Compare the power function distribution to the inverse of the Pareto."
msgstr ""

