函數(shù)方差檢驗方法的應(yīng)用
發(fā)布時間:2018-06-27 17:19
本文選題:方差分析 + 函數(shù)型數(shù)據(jù) ; 參考:《統(tǒng)計與決策》2017年09期
【摘要】:空氣污染問題引起了社會廣泛關(guān)注,影響空氣質(zhì)量評價的因素有很多,研究這些因素對指標(biāo)的影響是否都顯著尤為重要。文章將函數(shù)型方差檢驗的方法(ANOVA)應(yīng)用到空氣質(zhì)量的數(shù)據(jù)中,首先采集到北京市區(qū)內(nèi)分布在不同地方的35個監(jiān)測站的每天每小時的實時更新數(shù)據(jù),對北京市劃分的五個行政區(qū)域的空氣污染成分進(jìn)行函數(shù)方差分析的k樣本均值假設(shè)檢驗,進(jìn)而分析北京市各行政區(qū)域空氣污染的各成分之間的差異。
[Abstract]:The problem of air pollution has aroused widespread concern in the society. There are many factors that affect the air quality evaluation. It is particularly important to study whether these factors have a significant impact on the indicators. In this paper, the method of functional variance test (ANOVA) is applied to air quality data. First of all, the daily real-time update data of 35 monitoring stations distributed in different places in Beijing are collected. The air pollution components of the five administrative regions in Beijing were tested by the k-sample mean hypothesis of the functional variance analysis, and then the differences between the air pollution components in the five administrative regions of Beijing were analyzed.
【作者單位】: 首都經(jīng)濟(jì)貿(mào)易大學(xué)統(tǒng)計學(xué)院;哈爾濱師范大學(xué)數(shù)學(xué)科學(xué)學(xué)院;
【基金】:全國統(tǒng)計科學(xué)研究計劃項目(2013LZ13) 黑龍江省青年基金資助項目(JJ2016QN0211) 北京特大城市研究中心資助項目(TDJD201502)
【分類號】:O212.1;X823
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1 施介寬;蘭州市邊界層氣象條件對空氣污染影響的數(shù)理統(tǒng)計模式[J];蘭州大學(xué)學(xué)報;1980年02期
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