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2003–2017, 2019–2020 $348 million Los Angeles Dodgers: 2013–2017, 2021 $151.7 million Boston Red Sox: 2004–2007, 2010–2011, 2015–2016, 2018–2019 $51.1 million Chicago Cubs: 2016, 2019–2020 $14.0 million Detroit Tigers: 2008, 2016–2017 $9.0 million San Francisco Giants: 2015–2017 $8.8 million Washington Nationals: 2017–2018 ...
The threshold level for the luxury tax will be $189MM in 2014 (up from $178MM from 2011 to 2013) and will remain at $189MM through 2016. From 2012 through 2016, teams who exceed the threshold for the first time must pay 17.5% of the amount they are over , 30% for the second consecutive year over, 40% for the third consecutive year over, and 50% ...
Calculate the ratio of surplus to the number of reassigned ballots or 1 if the number of such ballots is less than surplus. For each candidate, multiply ratio * the number of that candidate's reassigned votes and add the result (rounded down) to the candidate's tally. Repeat 3–5 until winners fill all seats, or all ballots are exhausted.
Example decision curve analysis graph with two predictors. A decision curve analysis graph is drawn by plotting threshold probability on the horizontal axis and net benefit on the vertical axis, illustrating the trade-offs between benefit (true positives) and harm (false positives) as the threshold probability (preference) is varied across a range of reasonable threshold probabilities.
The liability-threshold model is a threshold model of categorical (usually binary) outcomes in which a large number of variables are summed to yield an overall 'liability' score; the observed outcome is determined by whether the latent score is smaller or larger than the threshold. The liability-threshold model is frequently employed in ...
If a main application of the forecast is to predict when certain thresholds will be crossed, one possible way of assessing the forecast is to use the timing-error—the difference in time between when the outcome crosses the threshold and when the forecast does so.
A tolerance interval (TI) is a statistical interval within which, with some confidence level, a specified sampled proportion of a population falls. "More specifically, a 100×p%/100×(1−α) tolerance interval provides limits within which at least a certain proportion (p) of the population falls with a given level of confidence (1−α)."
In this example, 230,000 voters decide the disposition of 8 seats among 4 parties. Since 8 seats are to be allocated, each party's total votes are divided by 1, then by 3, and 5 (and then, if necessary, by 7, 9, 11, 13, and so on by using the formula above) every time the number of votes is the biggest for the current round of calculation.