Sentence examples for mix framework from inspiring English sources

Rooted in the recent literature, we investigate the landscape of big data analytics through the lens of a marketing mix framework in this paper.

The four S elements of the Web-Marketing Mix framework present a sound and functional conceptual basis for designing, developing and commercialising Business-to-Consumer online projects.

Discussing how researchers may choose between the two approaches or leverage their complementarities, we seek to provide the basis for a consistent research program building on the policy mix framework.

This paper reviews the criticism on the 4Ps Marketing Mix framework, the most popular tool of traditional marketing management, and categorizes the main objections of using the model as the foundation of physical marketing.

Interventions categorised by the "6Ps" modified version of the "marketing mix" framework demonstrated differential effects on healthy eating outcomes by socioeconomic position (SEP).

HMM-based models for SNP arrays introduced in Colella et al. (2007) and Scharpf et al. (2008) will be investigated for extension to the clustering setting using the HMM-Mix framework introduced here.

Price weights for public hospital-based inpatient services will be based on New Zealand's case-mix framework for publically funded hospitals for the fiscal year 2008/2009: the Weighted Inlier Equivalent Separations (WIES), with Amendments for New Zealand from Version 11C to Version WIESNZ, 2008 (WIESNZ08).

Here we build on these previous methods by introducing two mechanistic approaches (Dirichlet mixture and CLR transform) to modeling individual variability within a hierarchical Bayesian mixing model framework.

By incorporating dietary variability into the isotope mixing model framework, we have provided the tools necessary to assess the niche width of a consumer population based on variability in diet, rather than variability in isotope signatures.

We focus on the CLR transformation because it is isometric and treats components symmetrically [20], [21] and because it is numerically tractable in the mixing model framework (in contrast, the ILR involves solving polynomial roots).

For appropriate consideration of multiple measurements per patient in these analyses, uni- and multivariable regression models were fitted in a "Generalized Linear Mixed Model" (GLMM) framework.