Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
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<P>This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.</P>
![Introduction to Applied Bayesian Statistics and Estimation for Social Scientists Introduction to Applied Bayesian Statistics and Estimation for Social Scientists](https://cos.richshop.de/servlet/images/9780387712659.jpg?w=300)
- Autor: Scott M. Lynch
- Seitenzahl: 359
- Format: PDF
- DRM: social-drm (ohne Kopierschutz)
- Erscheinungsdatum: 30.06.2007
- Herausgeber: SPRINGER