摘要
本文分析了在EXCEL和SPSS中进行两样本方差相等检验出现不同结果的原因,比较了方差齐次性检验的两种方法。
出处
《统计教育》
2005年第4期32-33,共2页
Statistical education
同被引文献22
-
1龚秀芳,冯珍珍.几种异方差检验方法的比较[J].菏泽学院学报,2003,26(4):19-22. 被引量：5
-
2程琮,范华.Levene方差齐性检验[J].中国卫生统计,2005,22(6):408-408. 被引量：21
-
3REFSGAARD J C, SETH S M, BATHURST J C, et al. Application of the SHE to catchments in India: part I: general results [ J ]. Journal of Hydrology, 1992,140 : 1-23.
-
4WANG Y, DIETRICH J, VOSS F, et al. Identifying and reducing model structure uncertainty based on analysis of parameter interaction[ J]. Advances in Geosciences,2007, 11 :117-122.
-
5XU Chongyu. Statistical analysis of parameters and residuals of a conceptual water balance model-methodology and case study[ J]. Water Resources Management,2001,15:75-92.
-
6YANG Jing, REICHERT P, ABBASPOUR K C, et al. Hydrological modelling of the Chaohe Basin in China: statistical model formulation and Bayesian inference [ J ]. Journal of Hydrology ,2007,340 : 167-182.
-
7LI Lu, XU Chongyu, XIA Jun, et al. Uncertainty estimates by Bayesian method with likelihood of AR( 1 ) plus normal model and AR( 1 ) plus multi-normal model in different time-scales hydrological models[ J]. Journal of Hydrology, 2011,406:54455.
-
8XU Chongyu. WASMOD: the water and snow balance modelling system [ M]//SINGH V P, FREVERT D K. Mathematical Models of Small Watershed Hydrology and Applications: Chapter 17. Chelsea, Michigan, USA: Water Resources Publications, LLC,2002 : 555-590.
-
9LI Zhanling, XU Zongxue, LI Zhanjie. Performance of WASMOD and SWAT on hydrological simulation in Yingluoxia watershed in northwest of China [ J ]. Hydrological Processes ,2011,25:2001-2008.
-
10MONTEITH J L. Evaporation,the environment [ C ]// XIXth symposia of the society for Experimental Biology in the State and Movement of Water in Living Organisms. Cambridge : Cambridge University Press, 1965:205-234.
引证文献3
-
1李占玲,徐宗学,周训.WASMOD水文模拟残差统计特征检验[J].水利水电科技进展,2013,33(1):13-17.
-
2缪灵均,廖梦雨,赵店.批发分销商经营状况的多元统计分析[J].贵州师范学院学报,2015,31(6):58-63.
-
3缪灵均,廖梦雨,赵店.批发分销商经营状况的多元统计分析[J].德州学院学报,2015,31(6):93-98.
