Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backbone Contains many data examples, including R-code and a specific R-package for comparing distributions Emphesises informative statistical analysis rather than plain statistical hypothesis testing
發表於2025-01-11
Comparing Distributions 2025 pdf epub mobi 電子書 下載
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Comparing Distributions 2025 pdf epub mobi 電子書 下載