Cluster analysis - Samenvattingen en Aantekeningen

Dit overzichtje heb ik gemaakt om de verschillen te leren tussen ANOVA, Cluster Analysis, Factor Analysis, Logistic regression, Conjoint Analyse en DMS met daarbij de behorende assumptions. (Aantekeningen)

In dit document vind je de volledige samenvatting van de tentamenstof van het vak Advanced Management and Marketing (BMO-21306). De samenvatting bestaat, net als het tentamen, uit twee delen, namelijk het management gedeelte (waarin Fundamentals of Strategy wordt samengevat) en het marketing gedeelte (waarin Marketing Models: Multivariate Statistics and Marketing Analytics wordt samengevat). Deze twee boeken vormen de tentamenstof.

This is a summary of the Data Analysis and Visualisation course taught at Utrecht University as part of the Applied Data Science (ADS) profile. Its contents are an extensive yet comprehensive summary of all chapters of the book Introduction to Statistical Learning (James et al.) and relevant papers. Topics touched upon are, among others, regression (linear and logistic), resampling, tree-based methods, classification, PCA, correspondence analysis, and cluster analysis.

Rather detailed summary (51 pages) of the course quantitative and design method in business research including the techniques: multivariate analysis, factor analysis, regression analysis, cluster analysis, analysis of (co)variance and general information about univariate statistics and assumptions of multivariate analysis.

Clear summary of the article called 'Conceptualizing leadership across cultures' by Dickson et al. (2012) in Journal of World Business. Just a structered overview!

A taxonomy of managerial goals in mergers and acquisitions is developed through a cluster analysis of data from interviews with merger and acquisition practitioners. Different types of mergers and acquisitions are characterized by different...