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155920269
Springer Statistics Sampling Algorithms, Hardcover
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artikal br.:
155920269
RSD 24420
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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.
Детаљи о производу
| 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.
-
Researchers
Researchers in various fields can apply advanced sampling algorithms for more accurate and reliable results in their studies.
-
Casual Readers
Those without a strong background in statistics may find the content too complex and difficult to understand.
OPIS PROIZVODA
Springer Statistics Sampling Algorithms, Hardcover
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RSD 24420
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Карактеристике и предности
- 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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