लोड हो रहा है...
Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive. We approximate analytically and numerically the performance of Neyman-Pearson hypothesis testing, Fisher significance testing, info...
में बचाया:
| में प्रकाशित: | Front Ecol Evol |
|---|---|
| मुख्य लेखकों: | , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2019
|
| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8293863/ https://ncbi.nlm.nih.gov/pubmed/34295904 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fevo.2019.00372 |
| टैग : |
टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|