April 2014
Beginner to intermediate
830 pages
15h 21m
Chinese
Content preview from Mathematica 錦囊妙計
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第十二章
討論說明
你可以使用
BinCounts
與
BarChart
指令視覺化呈現不同機率分布。
以散佈圖呈現亂數是另一個將機率分布視覺化的方法。你會發現以下範例重複性很高，
考考各位讀者，如何以精簡的方式減少重複性？（提示：使用函數式程式設計！）
461
ch12.indd 458 2014/4/2 下午 01:57:33
12.3 機率分布的使用
|
459
延伸資訊
至 於
SeedRandom
、
BlockRandom
與
RandomComplex
等 相 關 指 令， 請 參 考 Mathematica 教
學文件。
訣竅 12.12 提供一個以卡方分布測試亂數產生器的常見方法。
12.3 機率分布的使用
問題點
針對某機率分布，你想計算其機率密度函數（probability density function，PDF）或是
累積分布函 數（cumulative distribution function，CDF）。 你可能也需要 獲得其特徵函
數。
解決方案
使用
PDF
指令可計算機率分布的機率密度函數；使用
CDF
指令可計算機率分布的累積分
布函數。以下使用標準常態分布作為範例（平均數為 0，標準差為 1）。
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