![]() There is plenty of opportunity for practice using XLSTAT through “hands on exercises” for which annotated solutions are provided and delegates are welcome to bring their own datasets to try the techniques. HCA is a method of cluster analysis XLSTAT, Your data analysis solution The intent is to bring the same level of enabling technology to spatial analysis that spreadsheets and statistical packages have brought to statistical analysis (Anselin et al., 1993). We aim to explain the objectives of the techniques and to send you away with a better understanding of which technique to use when. Mathematical details are kept to a minimum and we focus on the interpretation of the outputs from XLSTAT and illustrate applications with case studies using data from consumer tests, instrumental analysis, manufacturing processes and biological data. There are multivariate techniques available to suit both these aims. ) or the inter relationships between the variables themselves. Depending on the application your focus may be on the objects measured (customers, products, physical samples etc. ![]() This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables. Coming in 2019 – please contact us for dates ![]()
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