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Advancements in high-speed computing have revolutionized data analysis, particularly in non-parametric smoothing methods for density, distribution, and regression function estimation. These techniques allow analysts greater flexibility and the ability to reveal complex data structures through well-designed graphics. Experts in the field emphasize that many analysts underestimate the value of these methods, which can effectively highlight unusual patterns in data. The book advocates for a deeper understanding and utilization of these powerful statistical tools in data analysis.
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Smoothing Methods in Statistics, Jeffrey S. Simonoff
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- Année de publication
- 2011
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