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Applied Regression Analysis (Wiley Series In Probability And Statistics),New
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An Outstanding Introduction To The Fundamentals Of Regression Analysisupdated And Expanded The Methods Of Regression Analysis Are The Most Widely Used Statistical Tools For Discovering The Relationships Among Variables. This Classic Text, With Its Emphasis On Clear, Thorough Presentation Of Concepts And Applications, Offers A Complete, Easily Accessible Introduction To The Fundamentals Of Regression Analysis. Assuming Only A Basic Knowledge Of Elementary Statistics, Applied Regression Analysis, Third Edition Focuses On The Fitting And Checking Of Both Linear And Nonlinear Regression Models, Using Small And Large Data Sets, With Pocket Calculators Or Computers. This Third Edition Features Separate Chapters On Multicollinearity, Generalized Linear Models, Mixture Ingredients, Geometry Of Regression, Robust Regression, And Resampling Procedures. Extensive Support Materials Include Sets Of Carefully Designed Exercises With Full Or Partial Solutions And A Series Of True/False Questions With Answers. All Data Sets Used In Both The Text And The Exercises Can Be Found On The Companion Disk At The Back Of The Book. For Analysts, Researchers, And Students In University, Industrial, And Government Courses On Regression, This Text Is An Excellent Introduction To The Subject And An Efficient Means Of Learning How To Use A Valuable Analytical Tool. It Will Also Prove An Invaluable Reference Resource For Applied Scientists And Statisticians.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has seven hundred thirty-six pages. It provides a comprehensive exploration of regression analysis fundamentals.
- Q: What is the binding type of this book? A: The binding type is hardcover. This ensures durability and longevity for frequent use.
- Q: What are the dimensions of this book? A: The dimensions are six point nine inches in length, one point five inches in width, and ten point one inches in height. These measurements make it easy to handle and store.
- Q: How do I use this book for learning? A: You can use this book for self-study or in academic settings. It includes exercises with solutions to help reinforce your understanding of regression analysis.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for beginners. It assumes only a basic knowledge of elementary statistics, making it accessible for new learners.
- Q: Can I use this book for advanced statistics courses? A: Yes, this book is also suitable for advanced courses. It covers a range of topics including multicollinearity and generalized linear models.
- Q: How should I store this book to keep it in good condition? A: Store this book upright on a shelf to prevent bending. Avoid exposure to direct sunlight to preserve the cover and pages.
- Q: Is this book safe for kids? A: Yes, this book is safe for older children and teens studying statistics. However, it is intended for educational purposes rather than recreational reading.
- Q: How do I clean this book if it gets dirty? A: To clean this book, use a soft, dry cloth to gently wipe the cover. Avoid using water or cleaning solutions that may damage the material.
- Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, contact the seller for a return or exchange. Ensure to keep the original packaging for a smooth return process.
- Q: How does this book compare to other statistics textbooks? A: This book is recognized for its clarity and thorough presentation, making it a top choice for both beginners and advanced learners compared to other textbooks in the field.
- Q: Is this book suitable for university courses? A: Yes, this book is ideal for university courses on regression analysis. It serves as an excellent reference resource for both students and instructors.
- Q: Does this book include exercises for practice? A: Yes, it includes a series of exercises with full or partial solutions. This helps reinforce the concepts discussed throughout the text.
- Q: What topics are covered in this book? A: Topics include linear and nonlinear regression models, multicollinearity, robust regression, and resampling procedures, among others.
- Q: Who is the author of this book? A: The author is Norman R. Draper, a respected figure in the field of statistics. His expertise adds credibility to the content.