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155920269
Springer Statistics Sampling Algorithms, Hardcover
87% of respondents would recommend this to a friend
Item #:
155920269
TND 704
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What Stands Out
In-Depth Coverage
Offers comprehensive insights into sampling algorithms, making it invaluable for statisticians and researchers seeking a deep understanding of statistical sampling techniques in various applications.
Expert Authors
Authored by leading experts in the field, ensuring high-quality content and authoritative perspectives that enhance learning and application of statistics in real-world scenarios.
Practical Applications
Equips readers with practical sampling strategies and examples, aiding both academic and professional statisticians in effectively addressing real-world data challenges.
Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Pub date | 2006-03-01 |
| Pages | 216 |
| Subgenre | Probability & Statistics |
| Series title | Springer Statistics |
| Edition | 2006 Edition |
| Publisher | Springer New York |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics, Social Science |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.34 in (23.7 cm) |
| Assembled product weight | 1.02 lb (460 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
-
Statistics Students
Students studying statistics will benefit greatly from comprehensive sampling methods and theoretical explanations provided in this book.
-
Data Analysts
Data analysts looking to improve sampling techniques can utilize the book's algorithms for effective data collection strategies.
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Researchers
Researchers in various fields can apply advanced sampling algorithms for more accurate and reliable results in their studies.
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Casual Readers
Those without a strong background in statistics may find the content too complex and difficult to understand.
Product Description
Springer Statistics Sampling Algorithms, Hardcover
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Yves Tillé All Books Editorial Review
Springer Statistics Sampling Algorithms (Hardcover) is a comprehensive non-fiction textbook tailored for those delving into the realms of probability and statistics. With 216 pages, this 2006 edition offers intricate details to aid understanding in subjects crucial for mathematics and social science education. Its hardcover format ensures durability and ease of use, making it a valuable resource for both students and professionals. Readers appreciate the book's clarity, particularly in presenting complex concepts succinctly. Furthermore, it serves as an integral guide for those with a keen interest in statistical sampling algorithms, which are essential in various research methodologies.
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Pros
- Durable hardcover format for longevity
- Comprehensive insights into statistics
- Ideal for mathematics and social science
- Engaging presentation of complex topics
- Valuable for both students and professionals
Cons
- May require prior knowledge of statistics
Product Price History
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Features & Benefits
- Comprehensive inventory of innovative sampling methods.
- Detailed description of 46 rigorous sampling algorithms.
- Designed for experienced statisticians.
- Facilitates direct implementation of methods.
- Based on significant advancements in sampling techniques.
- Essential resource for enhancing survey sampling theory.
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