HB-Reg

Hierarchical Bayesian (HB) estimation has taken on an increasingly important role in marketing research over the last few years. It can improve estimates of parameters (such as beta weights and utilities) both in terms of precision and validity. Our HB-Reg system is for regression-based problems where respondents provide multiple observations (cases) which include a continuous dependent variable.

HB-Reg Specifications:

• Up to 1000 parameters per respondent, for unlimited respondents.
• Uses text-only, space-delimited input files

Read more about the HB methodology or download the HB-Reg Technical Paper.

System Requirements

HB-Reg is designed to run on Microsoft Windows 2000 or later.

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