Encompassing prior

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  • Null hypothesis significance testing (NHST) is one of the main research tools in social and behavioral research. It requires the specification of a null hypothesis, an alternative hypothesis, and data in order to test the null hypothesis. The main result of a NHST is a p-value [3]. An example of a null hypothesis and a corresponding alternative hypothesis for a one-way analysis of variance is:

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  • Rob Reider, CPA, MBA, PhD, is the president of Reider Associates, a management and organizational consulting firm located in Santa Fe, New Mexico, which he founded in 1976. Prior to starting Reider Associates, he was a manager in the Management Consulting Department of Peat, Marwick in Philadelphia.

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  • In segmenting markets most researchers use a single set of basis variables that have ranged from demographics to psychographics to product category related attitudes to product related behaviors to derived importances from conjoint exercises to latent structures, depending on the era and the proclivities of the researcher. Yet, it seems quite restrictive to limit the basis for segmentation to only one type of variable. Buyers may use many criteria for determining their response to the selling proposition in a category.

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  • The term E-business was initially crafted in a thematic campaign by IBM in 1997 and subsequently defined as “a secure, flexible, and integrated approach to delivering differentiated business value by combining the systems and processes that run core business operations with the simplicity and reach made possible by Internet technology” (http://www.ibm.com). Prior to the offering of this definition, the term E-business and E- commerce were often referred to interchangeably.

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  • Excellent surveys of recent work in behavioral asset pricing include Hirshleifer (2001) and Barberis and Thaler (2003). In this paper, we do not attempt to be either as balanced or as comprehensive as these authors. Rather, we adopt the role of advocates, and argue in favor of one particular class of heterogeneous-agent models, which we call “disagreement” models. This category is fairly broad, encompassing work that has focused on the following underlying mechanisms: i) gradual information flow; ii) limited attention; and iii) heterogeneous priors.

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