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Practical Data Analysis for Designed Experiments (English, Yandell Brian S. | Yondell | Yandell S. Yandell)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780412063411 |
| ISBN-10 | 0412063417 |
| Author | Yandell Brian S. | Yondell | Yandell S. Yandell |
Product Description
About the Book
Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are ba…
ISBN: 9780412063411
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Practical Data Analysis for Designed Experiments
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Practical Data Analysis for Designed Experiments is available in English on GlowMirror.
Who is the author of Practical Data Analysis for Designed Experiments?
Practical Data Analysis for Designed Experiments is authored by Yandell Brian S. | Yondell | Yandell S. Yandell.
Who published Practical Data Analysis for Designed Experiments?
Practical Data Analysis for Designed Experiments is published by Springer.
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Page count information for Practical Data Analysis for Designed Experiments is available in the specifications section of this page.
How long does it take to read Practical Data Analysis for Designed Experiments?
At an average reading speed of 250 words per minute, reading Practical Data Analysis for Designed Experiments takes a few hours to a few days depending on reading pace.
What is Practical Data Analysis for Designed Experiments about?
About the Book
Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more pr...
Is Practical Data Analysis for Designed Experiments suitable for beginners?
Whether Practical Data Analysis for Designed Experiments is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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