摘要
数据统计分析不充分或不正确,是导致中国科研工作者在国际期刊投稿中遭拒的主要原因之一。过去20年,统计方法学及计算机软件在统计应用方面已有重大进展。但是,大多数中国植物病理学家仍然使用传统的方差分析或普通的分析方法去分析一些数据,而这些数据其实可用更合适的方法分析。本文简要介绍一些适于植物病理学常见数据的统计分析方法,希望对广大科研工作者有所帮助,也希望加强与应用统计学家的科研合作。
One of main reasons for rejection of manuscript written by Chinese scientists by international journals is the inadequate or incorrect statistical data analysis. Over the last two decades, there have been significant de- velopments in statistical methodology and implementation of statistics as computer software. However, most plant pathologists in China are still using conventional ANOVA or ordinary analysis for types of data that should be analyzed by more appropriate methods. In this short paper, we briefly introduce some statistical methods that are most likely to be appropriate for common data types encountered in plant pathology. We hope this would enable researchers to read more in a particular topic and to collaborate with applied statisticians.
出处
《植物病理学报》
CAS
CSCD
北大核心
2015年第1期1-6,共6页
Acta Phytopathologica Sinica
基金
国家自然科学基金资助项目(31471731)
高等学校学科创新引智计划(B07049)
"后稷学者"人才专项(Z111021008)资助
