# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-08-20 11:06+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/tensor/statistics.rst:2
msgid "Statistics"
msgstr "统计"

#: ../../source/reference/tensor/statistics.rst:5
msgid "Order statistics"
msgstr "顺序统计量"

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ":obj:`mars.tensor.amin <mars.tensor.amin>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid "Return the minimum of a tensor or minimum along an axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ":obj:`mars.tensor.amax <mars.tensor.amax>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid "Return the maximum of an array or maximum along an axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ":obj:`mars.tensor.nanmin <mars.tensor.nanmin>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid "Return minimum of a tensor or minimum along an axis, ignoring any NaNs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ":obj:`mars.tensor.nanmax <mars.tensor.nanmax>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ""
"Return the maximum of an array or maximum along an axis, ignoring any "
"NaNs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid ":obj:`mars.tensor.ptp <mars.tensor.ptp>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:17:<autosummary>:1
msgid "Range of values (maximum - minimum) along an axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:19
msgid "Average and variances"
msgstr "均值和方差"

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.average <mars.tensor.average>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the weighted average along the specified axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.mean <mars.tensor.mean>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the arithmetic mean along the specified axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.std <mars.tensor.std>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the standard deviation along the specified axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.var <mars.tensor.var>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the variance along the specified axis."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.nanmean <mars.tensor.nanmean>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the arithmetic mean along the specified axis, ignoring NaNs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.nanstd <mars.tensor.nanstd>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ""
"Compute the standard deviation along the specified axis, while ignoring "
"NaNs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid ":obj:`mars.tensor.nanvar <mars.tensor.nanvar>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:33:<autosummary>:1
msgid "Compute the variance along the specified axis, while ignoring NaNs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:35
msgid "Correlating"
msgstr "相关性"

#: ../../source/reference/tensor/statistics.rst:44:<autosummary>:1
msgid ":obj:`mars.tensor.corrcoef <mars.tensor.corrcoef>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:44:<autosummary>:1
msgid "Return Pearson product-moment correlation coefficients."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:44:<autosummary>:1
msgid ":obj:`mars.tensor.cov <mars.tensor.cov>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:44:<autosummary>:1
msgid "Estimate a covariance matrix, given data and weights."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:46
msgid "Histograms"
msgstr "直方图"

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid ":obj:`mars.tensor.histogram <mars.tensor.histogram>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid "Compute the histogram of a set of data."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid ":obj:`mars.tensor.histogram_bin_edges <mars.tensor.histogram_bin_edges>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid ""
"Function to calculate only the edges of the bins used by the `histogram` "
"function."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid ":obj:`mars.tensor.digitize <mars.tensor.digitize>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:56:<autosummary>:1
msgid ""
"Return the indices of the bins to which each value in input tensor "
"belongs."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:58
msgid "Statistical tests"
msgstr "统计检验"

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.chisquare <mars.tensor.stats.chisquare>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Calculate a one-way chi-square test."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.ks_1samp <mars.tensor.stats.ks_1samp>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Performs the one-sample Kolmogorov-Smirnov test for goodness of fit."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.ks_2samp <mars.tensor.stats.ks_2samp>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Compute the Kolmogorov-Smirnov statistic on 2 samples."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ""
":obj:`mars.tensor.stats.power_divergence "
"<mars.tensor.stats.power_divergence>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Cressie-Read power divergence statistic and goodness of fit test."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.ttest_1samp <mars.tensor.stats.ttest_1samp>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Calculate the T-test for the mean of ONE group of scores."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.ttest_ind <mars.tensor.stats.ttest_ind>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Calculate the T-test for the means of *two independent* samples of scores."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ""
":obj:`mars.tensor.stats.ttest_ind_from_stats "
"<mars.tensor.stats.ttest_ind_from_stats>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "T-test for means of two independent samples from descriptive statistics."
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid ":obj:`mars.tensor.stats.ttest_rel <mars.tensor.stats.ttest_rel>`"
msgstr ""

#: ../../source/reference/tensor/statistics.rst:71:<autosummary>:1
msgid "Calculate the t-test on TWO RELATED samples of scores, a and b."
msgstr ""

