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ID:15408088
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时间:2018-08-03
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1、测绘工程专业英语作文篇一:测绘工程专业英语课文翻译Unit9BasicStatisticalAnalysisofRandomErrors(随机误差的统计学基本分析)Randomerrorsarethosevariablesthatremainaftermistakesaredetectedandeliminatedandallsystematicerrorshavebeenremovedorcorrectedfromthemeasuredvalues.【eliminate】后,并且所有系统误差被从测量值中移除或修正后,保留下的那些变量【variab
2、le变量、变化n.】)Theyarebeyondthecontroloftheobserver.Sotherandomerrorsareerrorstheoccurrenceofwhichdoesnotfollowadeterministicpattern.确定性的】模式【pattern】而发生的误差)Inmathematicalstatistics,theyareconsideredasstochasticvariables,anddespitetheirirregularbehavior,thestudyofrandomerrorsinanyw
3、ell-conductedmeasuringprocessorexperimenthasindicatedthatrandomerrorsfollowthefollowingempiricalrules:【mathematicalstatistics】中,它们被当成随机变量【stochasticvariable】,尽管它们的行为无规律,在任一正确的【well-conducted原意为品行端正的,这里指测量实验和活动是无误的】测量活动和实验中,对的随机误差的研究显示【indicate】随机误差遵循以下经验法则【empirical⑴Arandomerr
4、orwillnotexceedacertainamount.(随即误差不会超过一个确定的值)⑵Positiveandnegativerandomerrorsmayoccuratthesamefrequency.(正负误差出现的频率相同)⑶Errorsthataresmallinmagnitudearemorelikelytooccurthanthosethatarelargerinmagnitude.比数值大的误差出现可能性大【belikelyto可能】)⑷Themeanofrandomerrorstendstozeroasthesamplesiz
5、etendstoinfinite.随机误差的平均值趋近于0)Inmathematicalstatistics,randomerrorsfollowstatisticalbehaviorallawssuchasthelawsofprobability.【statistical】行为【behavioral行为的】规律,如概率法则)Acharacteristictheoreticalpatternoferrordistributionoccursuponanalysisofalargenumberofrepeatedmeasurementsofaquan
6、tity,whichconformtonormalorGaussiandistribution.观测分析【analysisn.】中的误差分布的一个特征理论模式,遵照【conformto遵照】正态或高斯分布)【在对一个量进行大量重复观测分析后,得到一个误差分布的理论特征——正态或高斯分布】Theplotoferrorsizesversusprobabilitieswouldapproachasmoothcurveofthecharacteristicbell-shape.与……相对】概率的关系图,接近一条光滑的特有的【characteristic特有
7、的】钟形曲线。)Thiscurveisknownasthenormalerrordistributioncurve.称为正态分布曲线)Itisalsocalledtheprobabilitydensityfunctionofanormalrandomvariable.【probabilitydensity】函数)Itisimportanttonoticethatthetotalareaoftheverticalbarsforeachplotequals1.Thisistruenomatterthevalueofn(thenumberofsingle
8、combinedmeasurements),andthustheareaunderthesmoothnormalerror
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