diff --git a/library/statistics.po b/library/statistics.po index 7858cc8acd..7c0597019a 100644 --- a/library/statistics.po +++ b/library/statistics.po @@ -1156,7 +1156,7 @@ msgid "" "random variable *X* will be near the given value *x*. Mathematically, it is " "the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero." msgstr "" -"利用\\ `機率密度函式 (probability density function, pdf) `_ 計算隨機變數 *X* 接近給定" "值 *x* 的相對概度 (relative likelihood)。數學上，它是比率 ``P(x <= X < " "x+dx) / dx`` 在 *dx* 趨近於零時的極限值。" @@ -1277,7 +1277,7 @@ msgstr ":class:`NormalDist` 範例與錦囊妙計" #: ../../library/statistics.rst:927 msgid "Classic probability problems" -msgstr "" +msgstr "經典機率問題" #: ../../library/statistics.rst:929 msgid ":class:`NormalDist` readily solves classic probability problems." @@ -1305,7 +1305,7 @@ msgstr "" #: ../../library/statistics.rst:956 msgid "Monte Carlo inputs for simulations" -msgstr "" +msgstr "用於模擬的蒙地卡羅 (Monte Carlo) 輸入" #: ../../library/statistics.rst:958 msgid "" @@ -1314,12 +1314,12 @@ msgid "" "Carlo simulation `_:" msgstr "" "欲估計一個不易透過解析方法求解的模型的分布，:class:`NormalDist` 可以產生輸入" -"樣本以進行 `Monte Carlo 模擬 `_：" #: ../../library/statistics.rst:975 msgid "Approximating binomial distributions" -msgstr "" +msgstr "近似二項分布" #: ../../library/statistics.rst:977 msgid "" @@ -1346,7 +1346,7 @@ msgstr "" #: ../../library/statistics.rst:1016 msgid "Naive bayesian classifier" -msgstr "" +msgstr "單純貝氏分類器 (Naive bayesian classifier)" #: ../../library/statistics.rst:1018 msgid "Normal distributions commonly arise in machine learning problems." @@ -1401,13 +1401,13 @@ msgstr "" #: ../../library/statistics.rst:1073 msgid "Kernel density estimation" -msgstr "" +msgstr "核密度估計 (Kernel density estimation)" #: ../../library/statistics.rst:1075 msgid "" "It is possible to estimate a continuous probability density function from a " "fixed number of discrete samples." -msgstr "" +msgstr "可以從固定數量的離散樣本估計出連續機率密度函式。" #: ../../library/statistics.rst:1078 msgid "" @@ -1418,6 +1418,9 @@ msgid "" "smoothing is controlled by a single parameter, ``h``, representing the " "variance of the kernel function." msgstr "" +"基本想法是使用\\ `一個核函式如常態分布、三角分布或均勻分布 `_\\ 來" +"使資料更加平滑。平滑程度由單個參數 ``h`` 控制，代表核函數的變異數。" #: ../../library/statistics.rst:1097 msgid "" @@ -1426,11 +1429,14 @@ msgid "" "recipe to generate and plot a probability density function estimated from a " "small sample:" msgstr "" +"`維基百科有一個範例 `_，我們可以使用 ``kde_normal()`` 這個錦囊" +"妙計來生成並繪製從小樣本估計的機率密度函式：" #: ../../library/statistics.rst:1109 msgid "The points in ``xarr`` and ``yarr`` can be used to make a PDF plot:" -msgstr "" +msgstr "``xarr`` 和 ``yarr`` 中的點可用於繪製 PDF 圖：" #: ../../library/statistics.rst:-1 msgid "Scatter plot of the estimated probability density function." -msgstr "" +msgstr "估計機率密度函式的散點圖 (scatter plot)。" pFad - Phonifier reborn

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