Search results
Results from the WOW.Com Content Network
Leonard J. Savage argued that using non-Bayesian methods such as minimax, the loss function should be based on the idea of regret, i.e., the loss associated with a decision should be the difference between the consequences of the best decision that could have been made under circumstances will be known and the decision that was in fact taken before they were known.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
This statistics -related article is a stub. You can help Wikipedia by expanding it.
In statistics, the Hodges–Lehmann estimator is a robust and nonparametric estimator of a population's location parameter.For populations that are symmetric about one median, such as the Gaussian or normal distribution or the Student t-distribution, the Hodges–Lehmann estimator is a consistent and median-unbiased estimate of the population median.
Statistical tests, charts, probabilities, and clear results. Automatically checks assumptions, interprets results, and outputs graphs, histograms, and charts. Online statistics calculators support the test statistic and the p-value and more results like effect size, test power, and normality level.
For premium support please call: 800-290-4726 more ways to reach us
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
A single metric never tells the whole story of where the market is going. That said, one famous variant of the price-to-earnings ratio—a classic way to assess stock values—indicates the stock ...