Understand the cause of non-normal data and determine when it is appropriate to transform.
理解非正态分布数据产生的原因，确定什么时候可将它们转换。
Difference of measurement data was compared with single factor analysis of variance. After normal transformation, the non-normal distribution data were conducted with statistical disposal.
计量资料差异性比较采用单因素方差分析，非正态分布资料经正态转换后再作统计学处理。
This paper centers on the assumption that the actual distribution of the errors in GIS position data might be non-normal.
本文的研究围绕GIS位置数据的误差分布可能是非正态的这个问题展开。
Existing multimedia data models such as the of multimedia data model based on the of Non First Normal Form (NF2), object oriented data models and hyper media data models do not meet the needs of MGIS.
但现有的几种多媒体数据模型(NF 2模型、面向对象模型和超媒体模型等)尚不能满足MGIS数据管理的要求。
Because of the real data does not obtain from normal incidence, hence, the radius formula of Fresnel zone for non-zero incidence angle was derived.
根据实际资料都不见垂直入射这一事实，推导了非零入射角条件下非涅尔带半径公式。
On the basis of that, it provides a wider and easier method - using Johnson curves to describe non - normal data in process control.
本文在对非正态分布过程控制方法分析的基础上，提出了适用范围更广、操作更简便的约翰逊曲线拟合非正态分布数据的过程控制方法。
GPS, normal height, geodetic height, non-grid data, terrain effect.
正常高，大地高，非格网数据，地形影响。
Traditional SPC theory is based on a fundamental assumption that the process data are normal. However, in many conditions the process data are non-normal which makes traditional SPC theory invalid.
传统的统计过程控制理论是基于正态分布这个基本假设的，而在实际生产过程中大量非正态过程传统SPC技术会失效。
Traditional SPC theory is based on a fundamental assumption that the process data are normal. However, in many conditions the process data are non-normal which makes traditional SPC theory invalid.
传统的统计过程控制理论是基于正态分布这个基本假设的，而在实际生产过程中大量非正态过程传统SPC技术会失效。
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