Search Results - subject:"Hierarchical bayes"

Moderating Factors of Immediate, Dynamic, and Long-run Cross-Price Effects

Horváth, Horváth, C.; Fok, Fok, D. - Erasmus Research Institute of Management (ERIM), … - 2008

In this article the authors describe their comprehensive analysis of moderating factors of cross-brand effects of price changes and contribute to the literature in five major ways. (1) They consider an extensive set of potential variables influencing cross-brand effects of price changes. (2)...

Persistent link: https://www.econbiz.de/10010837542

Moderating Factors of Immediate, Dynamic, and Long-run Cross-Price Effects

HorvÃ¡th, C.; Fok, D. - Erasmus Research Institute of Management (ERIM), ERIM … - 2008

, asymmetry, dynamic effects, hierarchical Bayes Availability The ERIM Report Series is distributed through the following …; Dynamic efiects; Hierarchical Bayes; 1 1 Introduction For management purposes knowledge of cross-price efiects is especially … and the impact of moderating variables simultaneously in an e–cient manner using a Hierarchical Bayes model. Below we …

Persistent link: https://www.econbiz.de/10005288555

Estimation of Poverty Rates for the Italian Population classified by Household Type and Administrative Region

Ceccarelli, Claudio; Fabrizi, Enrico; Ferrante, Maria … - In: Rivista di statistica ufficiale 10 (2008) 1, pp. 59-72

The aim of the work is to provide estimates of some poverty rates for domains defined by cross-classifying the Italian population by household typology and administrative region, on the basis of data collected for Italy by the new “European Union – Statistics on Income and Living...

Persistent link: https://www.econbiz.de/10010631714

Threshold effects in pricing of high-involvement services

C. Larson, Alexander; L. Reicher, Rita; William … - In: Journal of Product & Brand Management 23 (2014) 2, pp. 121-130

achieved via the Hierarchical Bayes method of estimation. Findings – For demand for small business telecommunications services …

Persistent link: https://www.econbiz.de/10014896864

Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models

Eibich, Peter; Ziebarth, Nicolas R. - In: Regional Science and Urban Economics 49 (2014) C, pp. 305-320

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich …

Persistent link: https://www.econbiz.de/10011117437

A hierarchical Bayes model for biomarker subset effects in clinical trials

Chen, Bingshu E.; Jiang, Wenyu; Tu, Dongsheng - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 324-334

Some baseline patient factors, such as biomarkers, are useful in predicting patients’ responses to a new therapy. Identification of such factors is important in enhancing treatment outcomes, avoiding potentially toxic therapy that is destined to fail and improving the cost-effectiveness of...

Persistent link: https://www.econbiz.de/10010871317

An examination of social influence on shopper behavior using video tracking data

Zhang, Xiaoling; Li, Shibo; Burke, Raymond R.; Leykin, Alex - In: Journal of marketing 78 (2014) 5, pp. 24-41

Persistent link: https://www.econbiz.de/10010419907

Conjoint analysis, demand analysis, hierarchical bayes, pricing, services marketing

Larson, Alexander C.; Reicher, Rita L.; Johnsen, David … - In: The journal of product & brand management 23 (2014) 2, pp. 121-130

Persistent link: https://www.econbiz.de/10010384243

Why, when, and how much to entertain consumers in advertisements? : a web-based facial tracking field study

Teixeira, Thales; Picard, Rosalind W.; Kaliouby, Rana el - In: Marketing science 33 (2014) 6, pp. 809-827

Persistent link: https://www.econbiz.de/10010468387

Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models

Eibich, Peter; Ziebarth, Nicolas R. - In: Regional science & urban economics 49 (2014), pp. 305-320

Persistent link: https://www.econbiz.de/10011291523