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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists (Statistics for Social and Behavioral Sciences),New
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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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- Q: What is the page count of this book? A: This book has three hundred eighty-seven pages. It provides extensive coverage of Bayesian statistics tailored for social science applications.
- Q: What is the binding type? A: The book is bound in hardcover. This durable binding is ideal for frequent use and ensures longevity.
- Q: What are the dimensions of the book? A: The book measures seven point zero one inches in length, zero point seven five inches in width, and nine point five inches in height. These dimensions make it portable yet substantial for reading.
- Q: What statistical methods are discussed in this book? A: The book covers various statistical methods including linear regression, generalized linear models, hierarchical models, and multivariate regression models. Each method is elaborated with real-data examples.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It starts with foundational concepts in mathematical statistics and gradually progresses to advanced Bayesian techniques.
- Q: How can I apply the concepts learned in this book? A: You can apply the concepts by engaging in practical examples and exercises provided throughout the book. This approach helps reinforce learning and application in social science research.
- Q: How should I store this book? A: Store the book in a cool, dry place, away from direct sunlight. This will help preserve its physical condition and the integrity of the printed material.
- Q: Can I loan this book to others? A: Yes, you can loan this book to others. Just ensure it is returned in good condition to maintain its durability.
- Q: Is there a warranty for this book? A: No, books typically do not come with a warranty. However, you may refer to the retailer’s return policy for any issues upon purchase.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer to initiate a return or exchange. Most retailers have a policy in place for such situations.
- Q: Is the author of this book reputable? A: Yes, the author, Scott M. Lynch, is a recognized expert in the field of statistics. His background lends credibility to the content presented in the book.
- Q: Does this book include practical examples? A: Yes, the book includes practical examples throughout its chapters. These examples are designed to help readers understand and apply Bayesian statistics effectively.
- Q: Will this book help me with statistical inference? A: Yes, this book thoroughly covers the process of making statistical inferences using Bayesian methods. It provides the necessary tools for effective analysis.
- Q: Is this book relevant for social science research? A: Yes, this book is specifically designed for social science research. It focuses on models and statistical methods commonly used in this field.
- Q: Are there simulation methods discussed in the book? A: Yes, the book discusses simulation methods, including Markov chain Monte Carlo methods. These methods are crucial for constructing summaries of posterior distributions.