2.8. Sensitivity testingScatterplots were examined to assess fits betw การแปล - 2.8. Sensitivity testingScatterplots were examined to assess fits betw คาซัค วิธีการพูด

2.8. Sensitivity testingScatterplot

2.8. Sensitivity testing
Scatterplots were examined to assess fits between each significant predictor and pollutant concentrations, to ensure that covariate selec- tion was not reliant on outliers. We rank ordered I/O sulfur ratios for the 21 homes as an attempt to reveal indoor sources of sulfur effects of air conditioning and the frequency of opening windows. We tested rank ordered I/O sulfur ratios instead of the outdoor LUR concentration estimates for all four multivariate models, but these did not improve model fit. Final model residuals were examined to ensure normality. Each model term was examined against the residual of the model without that term, to ensure that each term explained unique variance. Indoor concentration predictions were compared to observed concen- trations using scatter plots. Finally, we tested the sensitivity of averag- ing outdoor pollutant concentrations within a 300 m buffer by comparing it to predicted concentrations at the point of the home loca- tion, finding correlations greater than 0.86. Statistical analyses were conducted using Proc Reg and Proc GLM in SAS version 9.3 (SAS Insti- tute Inc., Cary, NC).
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2.8. Сезімталдық тестілеу
Шашырап коварианта таңдауын шығарындылар бойынша тәуелді емес екенін қамтамасыз ету үшін, әрбір маңызды предиктор және ластаушы заттардың шоғырлануы арасындағы сызықтарды бағалауға қаралды. Біз және ауаны ашу терезелер жиілігін күкірт салдарын жабық көздерін анықтау әрекет ретінде 21 үйлерінде тапсырыс I / O күкірт коэффициенттерді орынды иеледі. Біз оның орнына барлық төрт көпөлшемді модельдер үшін ашық ЛУР концентрациясы сметасын I / O күкірт коэффициенттерді тапсырыс, бірақ бұл модель мақсатын жақсарту емес, атағы сынақтан. Қорытынды моделі қалдықтар қалыпқа қамтамасыз ету қарастырылды. Әрбір модель мерзімді әрбір мерзімді бірегей дисперсиясын түсіндірді қамтамасыз ету үшін, бұл мерзімге жоқ моделін қалдық қарсы зерделенді. Жабық концентрациясы болжау нүктелік учаскелерін пайдалану бақыланатын Концентрация бейнелерге салыстырылды. Соңында, біз қоршауда ды үйде, 0,86-ден артық корреляция табу нүктесінде болжамды концентрациясы оны салыстыру арқылы 300 м буфер аясында averag- ды сыртқы ластаушы заттардың концентрациясын сезімталдығы сынақтан. Статистикалық талдау SAS нұсқасы 9.3 (SAS институтымен Tute Inc., Cary, NC) қаласында бүкілодақтық Рег және бүкілодақтық GLM пайдаланып жүргізілді.
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