Title
Statistical Regression With Measurement Error (Kendall'S Library Of Statistics),Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Product Description Providing A General Survey Of The Theory Of Measurement Error Models, Including The Functional, Structural, And Ultrastructural Models, This Book Is Written In The Style Of The Kendall And Stuart Advanced Theory Of Statistics Set And, Like That Series, Includes Exercises At The End Of Thechapters. The Goal Is To Emphasize The Ideas And Practical Implications Of The Theory In A Style That Does Not Concentrate On The Theoremproof Format. Review 'Overall, The Presentation Is Inviting And The Reader Can Expect To Gain A Good Working Knowledge Of The Subject Without Much Tedious Effort. The Presentation Is Also Kept Simple By Avoiding The Useof Tedious Mathematical Notation. The Authors Have Succeeded Well In Their Goal Of 'Providing A Comprehensive Coverage Of The Subject That Emphasizes The Ideas And The Practical Implementation Of The Theory Without Too Great An Emphasis On The Theoremproof Format.' This Book Is On The Top Of My List For Anyone Interested In Linear And Polynomial Measurement Error Models.' Sudhir Gupta, Technometrics, Nov 2000, Vol 42, No 4 From The Back Cover Providing A General Survey Of The Theory Of Measurement Error Models, Including The Functional, Structural, And Ultrastructural Models, This Book Is Written In The Of The Kendall And Stuart Advanced Theory Of Statistics Set And, Like That Series, Includes Exercises At The End Of The Chapters. The Goal Is To Emphasize The Ideas And Practical Implications Of The Theory In A Style That Does Not Concentrate On The Theoremproof Format. About The Author Chilun Cheng Is At Institute Of State Science, Taiwan. John W. Van Ness Is At University Of Texas.
⚠️ WARNING (California Proposition 65):
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: What is the total number of pages in this book? A: This book has two hundred eighty-eight pages. It provides a comprehensive overview of measurement error models, making it suitable for academic study.
- Q: What are the dimensions of the book? A: The book measures six point three inches in length, zero point eight inches in width, and nine point three inches in height. These dimensions make it easy to handle and store.
- Q: What type of binding does this book have? A: This book is bound in hardcover. The hardcover binding provides durability, making it ideal for frequent use.
- Q: Who is the author of this book? A: The author of this book is Chi-Lun Cheng. He contributes valuable insights into statistical regression and measurement error.
- Q: What category does this book belong to? A: This book is categorized under Probability & Statistics. It is aimed at individuals interested in statistical theory and its applications.
- Q: What is the reading level of this book? A: This book is suitable for graduate students and professionals. It assumes a foundational understanding of statistics and advanced concepts.
- Q: How can I apply the concepts learned from this book? A: You can apply concepts from this book in various statistical analyses involving measurement error. It is particularly useful for researchers and data analysts.
- Q: Is this book suitable for beginners in statistics? A: No, this book is not recommended for beginners. It is designed for those with prior knowledge of statistical methods.
- Q: Are there exercises included in the book? A: Yes, there are exercises at the end of each chapter. These exercises help reinforce the concepts discussed throughout the book.
- Q: What is the best way to store this book? A: Store this book upright on a shelf in a dry place. This will help maintain its condition and prevent damage over time.
- Q: Does this book contain any safety warnings? A: No, this book does not contain safety warnings. It is a standard academic text focused on statistical theories.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement policy. Most retailers offer support for damaged items.
- Q: Is there a warranty for this book? A: No, books typically do not come with a warranty. However, check with the retailer for their specific return policy.
- Q: Can this book be used for self-study? A: Yes, this book can be used for self-study. Its comprehensive content and exercises make it suitable for independent learning.
- Q: Are there any prerequisites for understanding this book? A: Yes, a background in statistics is recommended to fully comprehend the material. Familiarity with regression models will be beneficial.