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MCS: A Method for Finding the Number of Clusters

Albatineh, Ahmed; Niewiadomska-Bugaj, Magdalena - In: Journal of Classification 28 (2011) 2, pp. 184-209

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Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads

Chiang, Mark; Mirkin, Boris - In: Journal of Classification 27 (2010) 1, pp. 3-40

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Fitting a distance model to homogeneous subsets of variables: Points of view analysis of categorical data

Meulman, Jacqueline - In: Journal of Classification 13 (1996) 2, pp. 249-266

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Tests for statistical significance of a treatment effect in the presence of hidden sub-populations

Karmakar, B.; Dhara, K.; Dey, K.; Basu, A.; Ghosh, A. - In: Statistical Methods and Applications 24 (2015) 1, pp. 97-119

For testing the statistical significance of a treatment effect, we often compare between two parts of a population; one is exposed to the treatment, and the other is not exposed to it. Standard parametric or nonparametric two-sample tests are commonly used for this comparison. But direct...

Persistent link: https://www.econbiz.de/10011241336

Customer lifetime value : a vital marketing/financial concept for businesses

Pepe, Michael - In: Journal of business & economics research 10 (2012) 1, pp. 1-10

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For new customers only : a study on the effect of acquisition campaigns on a service company's existing customers' CLV

Lhoest-Snoeck, Sietske; Nierop, Johannes Erjen Maurice van - In: Journal of interactive marketing : a quarterly … 28 (2014) 3, pp. 210-224

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Predicting customer value per product : from RFM to RFM/P

Heldt, Rodrigo; Silveira, Cleo Schmitt; Luce, Fernando Bins - In: Journal of business research : JBR 127 (2021), pp. 444-453

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Enhancing customer lifetime value in fast fashion retailing with RFID initiatives

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Customer value modelling in the energy market and a practical application for marketing decision making

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Supply chain management and marketing integration : enhancing customer lifetime value

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