TY - JOUR
T1 - Developing MINITAB software for spatial statistical analysis
T2 - a tool for education and research
AU - Griffith, D. A.
AU - Lewis, R.
AU - Bin Li, Li
AU - Vasiliev, I.
AU - McKnight, S.
AU - Xiaoming Yang, Yang
PY - 1990
Y1 - 1990
N2 - Overall, MINITAB is a very useful package in that it affords the possibility to deal with and solve spatial statistical problems, and estimate spatial autocorrelation parameters, without requiring high level programming skills. With this capability a researcher can conduct spatial statistical analysis using modified versions of classical statistical techniques, such as multiple regression, inference about a population mean, analysis of variance, bivariate correlation, and trend surface modelling. -Authors
AB - Overall, MINITAB is a very useful package in that it affords the possibility to deal with and solve spatial statistical problems, and estimate spatial autocorrelation parameters, without requiring high level programming skills. With this capability a researcher can conduct spatial statistical analysis using modified versions of classical statistical techniques, such as multiple regression, inference about a population mean, analysis of variance, bivariate correlation, and trend surface modelling. -Authors
UR - http://www.scopus.com/inward/record.url?scp=0025659359&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0025659359
VL - 8
SP - 28
EP - 33
JO - Operational Geographer
JF - Operational Geographer
SN - 0822-4838
IS - 3
ER -