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#: ../../source/reference/tensor/generated/mars.tensor.random.negative_binomial.rst:2
msgid "mars.tensor.random.negative\\_binomial"
msgstr ""

#: mars.tensor.random.negative_binomial:1 of
msgid "Draw samples from a negative binomial distribution."
msgstr ""

#: mars.tensor.random.negative_binomial:3 of
msgid ""
"Samples are drawn from a negative binomial distribution with specified "
"parameters, `n` trials and `p` probability of success where `n` is an "
"integer > 0 and `p` is in the interval [0, 1]."
msgstr ""

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

#: mars.tensor.random.negative_binomial:7 of
msgid ""
"Parameter of the distribution, > 0. Floats are also accepted, but they "
"will be truncated to integers."
msgstr ""

#: mars.tensor.random.negative_binomial:10 of
msgid "Parameter of the distribution, >= 0 and <=1."
msgstr ""

#: mars.tensor.random.negative_binomial:12 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 ``n`` and ``p`` are both scalars. Otherwise, "
"``np.broadcast(n, p).size`` samples are drawn."
msgstr ""

#: mars.tensor.random.negative_binomial:17 of
msgid "Desired chunk size on each dimension"
msgstr ""

#: mars.tensor.random.negative_binomial:19 of
msgid "Allocate the tensor on GPU if True, False as default"
msgstr ""

#: mars.tensor.random.negative_binomial:21 of
msgid "Data-type of the returned tensor."
msgstr ""

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

#: mars.tensor.random.negative_binomial:24 of
msgid ""
"**out** -- Drawn samples from the parameterized negative binomial "
"distribution, where each sample is equal to N, the number of trials it "
"took to achieve n - 1 successes, N - (n - 1) failures, and a success on "
"the, (N + n)th trial."
msgstr ""

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

#: mars.tensor.random.negative_binomial:31 of
msgid "Notes"
msgstr ""

#: mars.tensor.random.negative_binomial:32 of
msgid "The probability density for the negative binomial distribution is"
msgstr ""

#: mars.tensor.random.negative_binomial:34 of
msgid "P(N;n,p) = \\binom{N+n-1}{n-1}p^{n}(1-p)^{N},"
msgstr ""

#: mars.tensor.random.negative_binomial:36 of
msgid ""
"where :math:`n-1` is the number of successes, :math:`p` is the "
"probability of success, and :math:`N+n-1` is the number of trials. The "
"negative binomial distribution gives the probability of n-1 successes and"
" N failures in N+n-1 trials, and success on the (N+n)th trial."
msgstr ""

#: mars.tensor.random.negative_binomial:42 of
msgid ""
"If one throws a die repeatedly until the third time a \"1\" appears, then"
" the probability distribution of the number of non-\"1\"s that appear "
"before the third \"1\" is a negative binomial distribution."
msgstr ""

#: mars.tensor.random.negative_binomial:47 of
msgid "References"
msgstr ""

#: mars.tensor.random.negative_binomial:48 of
msgid ""
"Weisstein, Eric W. \"Negative Binomial Distribution.\" From MathWorld--A "
"Wolfram Web Resource. "
"http://mathworld.wolfram.com/NegativeBinomialDistribution.html"
msgstr ""

#: mars.tensor.random.negative_binomial:51 of
msgid ""
"Wikipedia, \"Negative binomial distribution\", "
"http://en.wikipedia.org/wiki/Negative_binomial_distribution"
msgstr ""

#: mars.tensor.random.negative_binomial:55 of
msgid "Examples"
msgstr ""

#: mars.tensor.random.negative_binomial:56 of
msgid "Draw samples from the distribution:"
msgstr ""

#: mars.tensor.random.negative_binomial:58 of
msgid ""
"A real world example. A company drills wild-cat oil exploration wells, "
"each with an estimated probability of success of 0.1.  What is the "
"probability of having one success for each successive well, that is what "
"is the probability of a single success after drilling 5 wells, after 6 "
"wells, etc.?"
msgstr ""

