Title
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists (Statistics for Social and Behavioral Sciences),New
Delivery time: 8-12 business days (International)
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 realdata example in painstaking detail.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Introduction to Applied Bayesian Statistics and Estimation for Social Scientists'? A: The book covers a range of topics including Bayesian statistical analysis, linear regression models, generalized linear models, hierarchical models, and multivariate regression models, with a strong focus on real-data examples.
- Q: Who is the author of this book? A: 'Introduction to Applied Bayesian Statistics and Estimation for Social Scientists' is authored by Scott M. Lynch.
- Q: What is the publication date of this book? A: The book was published on July 27, 2007.
- Q: Is this book suitable for beginners in statistics? A: Yes, the first part of the book provides a detailed introduction to mathematical statistics and the Bayesian approach, making it suitable for those new to the subject.
- Q: What type of binding does this book have? A: This book is available in hardcover binding.
- Q: How many pages are in this book? A: The book contains a total of 387 pages.
- Q: Does this book include programming methods for Bayesian analysis? A: Yes, it extensively discusses programming MCMC algorithms, monitoring their performance, and improving them.
- Q: What is the main focus of the book regarding data analysis? A: The main focus is on the complete process of Bayesian statistical analysis, from model development to statistical inference, particularly in the context of social science research.
- Q: Can this book help with real-data examples in social sciences? A: Absolutely, the book thoroughly develops real-data examples, which are crucial for understanding practical applications of Bayesian statistics in social sciences.
- Q: What is the edition of this book? A: This book is a 2007 edition.