Title
Bootstrapping: A Nonparametric Approach To Statistical Inference (Quantitative Applications In The Social Sciences),New
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Bootstrapping, a computational nonparametric technique for 'resampling,' enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences between legislative committee members and the entire legislature, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, they show the advantages and limitations of four bootstrap confidence interval methods: normal approximation, percenti
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- Q: What is the binding type of this book? A: The binding type is paperback. This makes it lightweight and flexible, ideal for easy handling.
- Q: How many pages does the book have? A: The book has eighty pages. This concise length allows for focused reading on bootstrapping techniques.
- Q: What are the dimensions of the book? A: The dimensions are five point five one inches by eight point five inches by zero point two inches. This size is suitable for portability and storage.
- Q: Who is the author of the book? A: The author is Christopher Z. Mooney. He provides expert insights into statistical inference techniques.
- Q: What topics does the book cover? A: The book covers bootstrapping, a nonparametric technique for statistical inference. It focuses on drawing conclusions from sample data.
- Q: Is this book suitable for beginners in statistics? A: Yes, the book is suitable for beginners. It explains bootstrapping concepts clearly, making it accessible for new learners.
- Q: Can I use this book for academic research? A: Yes, this book is ideal for academic research. It provides practical applications and real data examples relevant to statistical studies.
- Q: What kind of examples are used in the book? A: The book uses real data examples, including personal income and legislative preferences. These examples illustrate practical applications of bootstrapping.
- Q: Is the content of the book applicable to various fields? A: Yes, the content is applicable to various fields, especially in social sciences and statistics. It provides valuable insights for researchers.
- Q: Does the book include any visual aids or figures? A: No, the book does not specifically mention visual aids or figures. It primarily focuses on textual explanations and methodologies.
- Q: How should I care for this paperback book? A: Keep the book in a dry environment to prevent damage. Avoid exposing it to direct sunlight for extended periods.
- Q: Is there a warranty or return policy for this book? A: Typically, books do not have warranties. However, check the seller's return policy for details on returns or exchanges.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller immediately. They may offer a replacement or refund based on their policy.
- Q: How do I store this book to keep it in good condition? A: Store the book upright on a shelf or in a bookcase. Avoid stacking heavy items on top to prevent bending or damage.
- Q: Is this book recommended for advanced statistical studies? A: No, this book is not primarily for advanced studies. It serves as an introductory guide to bootstrapping techniques.