SC mining calculation
Graphics cards can't dig out bitcoin right now. Your calculation power is the calculation power of Ethereum. The calculation method is also wrong
Impact, can help save money and earn more revenue. Ethereum mining artifact eth super miner software supports both Eth and etc + SC mining. Its function is to redirect the fees collected by Claymore miner developers back to your wallet and display them in your mine pool with your miner's name, so as to improve the maximum computing power
AIC (Chi Chi Chi information criterion)
SC Schwarz criterion
1, Schwarz criterion SC (Schwarz criterion), the test idea is to determine the appropriate lag length by comparing the goodness of fit of different distributed lag models. The test process is: adding lag variables in the model period by period until the SC value no longer decreases, that is, selecting the lag period K to minimize the SC value. SC is more "severe punishment" than SC, adding unimportant explanatory variables to the model
AIC information criterion, or Akaike information criterion, is a standard to measure the goodness of fit of statistical model. It is also called Akaike information criterion because it was founded and developed by Japanese statistician Hiroshi Akachi. It is based on the concept of entropy, which can weigh the complexity of the estimated model and the goodness of the model fitting data 
extended data:
AIC information criterion was put forward by Hongci Akachi in 1971, which was published in the form of concept introction in 1973. It first appeared in an official paper published by Hongci Akachi in 1974. As of June 2018, the paper has been cited more than 40000 times
In digital signal processing, it is a method to select multiple models. In general, AIC can be expressed as: AIC = 2k-2ln (L), where k is the number of parameters and l is the likelihood function. The assumption is that the error of the model obeys the independent normal distributionselect object: select the object to be scaled
select object: press enter or the space bar to end the selection of objects to enter the specified base point step
specify base point: enter or select the base point position
specify scale factor or [ (c) / reference (R)] & lt; 1.0000>: 98 / 145 (the computer will automatically calculate the scale)
if it is a complex formula, you can use & # 39; Cal method call Calculator:
(the previous steps are omitted)
specify the scale factor or [ (c) / reference (R)] & lt; 1.0000>: &# 39; cal
>& gt;& gt;& gt; Expression: 3 * 2 / 100
resuming scale command
specify scale factor or [ / reference] & lt; 0.6759>: 0.06 (the computer will automatically calculate the scale)