Title
Applied Linear Statistical Models w/Student CDROM,New
Delivery time: 8-12 business days (International)
Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and 'Notes' to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
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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 is the primary focus of 'Applied Linear Statistical Models'? A: 'Applied Linear Statistical Models', 5e, primarily focuses on statistical modeling techniques applicable across various disciplines, emphasizing regression, ANOVA, and experimental design.
- Q: What edition is this book and how does it differ from previous editions? A: This is the 5th edition of the book, which includes increased use of computing and graphical analysis, larger data sets in examples, and an emphasis on automation within software.
- Q: Who is the author of 'Applied Linear Statistical Models'? A: The author of 'Applied Linear Statistical Models' is Michael H. Kutner, a recognized expert in the field of statistical analysis.
- Q: How many pages does the book contain? A: 'Applied Linear Statistical Models' contains a total of 1396 pages, providing extensive coverage of statistical modeling.
- Q: What condition is the used book in? A: The used book is listed in 'Good' condition, indicating it has been previously owned but remains functional and usable.
- Q: Is this book suitable for students in all disciplines? A: Yes, the book is designed for students in various disciplines where statistical analysis is relevant, making it a versatile resource.
- Q: What type of binding does this book have? A: This edition of 'Applied Linear Statistical Models' is available in paperback binding.
- Q: When was 'Applied Linear Statistical Models' published? A: 'Applied Linear Statistical Models' was published on January 1, 2004.
- Q: Does the book include exercises for practice? A: Yes, the book includes hallmark problems, exercises, and projects drawn from multiple disciplines to enhance learning and application.
- Q: What topics are covered in this book? A: The book covers a range of topics including regression, modeling, ANOVA, and experimental design, with clear explanations and examples.