**A**n hilariously ridiculous email I just received (warning: book cover unrelated):

*Good day! this is very important to the “Mathematics” and the related fields,*

*“The Simulator”,“Probability theory”,”Statistics”,”Numerical Analysis”, *

*“Cryptography”,“Data mining”,“The big data analysis”and“Artificial Intelligence”.*

*The transformation of random variables in Calculus is very difficult and sometimes *

*is impossible to be done. The simulator can get the accuracy and precise simulated data *

*and the database could be the probability distributution if the data size is 100,000,000 *

*or more. The probabilistic model can be designed and getting the probability distribution *

*and the coefficient using the simulator. *

*(1)“The Simulator” has four methods, *

*1) the basic method is the inverse function of the distribution function,*

*2) the transformation method to get the simulated data,*

*3) the numerical analysis method to build the simulated database,*

*4) the simulated database and the estimated line of random variable to get the simulated data.*

*(2) “Probability Theory” can use the simulator to a tool.*

*(3) ”Statistics”, the sampling distribution of the point estimator and the test statistic*

*can be seen as the transformation equation and the critical point and p value is from*

*the sampling distribution.*

*(4) ”Numerical Analysis”, the simulator data can overcome the limit of numerical analysis,*

*the number of random variables could be more 10000.*

*(5) “Cryptography”, the simulator of the probabilistic model will derive the lock code*

*which cannot be unlocked. *

*(6) “Data mining”, the data set can be a specific probability distribution using*

*“goodness of fit” or “Curve-fitting” or “Curvilinear”.*

*1) “goodness of fit”, there are 45 distributions for the null hypothesis.*

*2) “Curve-fitting”, the estimated line of random variable and the estimated line*

*of the distribution function. *

*3) “Curvilinear”, the data set is not arithmetic series.*

*(7) “The big data analysis”, the number of random variables could be more 10000*

*about the simulator of the probabilistic model.*

*(8) “Artificial Intelligence”, the model after analysis can be the transformation*

*equation, the simulator of the probabilistic model can get the simulated data.*

*The first book name is “The simulator” will be public, the context contains*

*(1) The simulation methods, *

*(2)“Probability Theory”, *

*(3) ”Statistics” and how to write the statistical package even the population is not*

*Normal distribution or a special statistical model.*

*(4)“Cryptography”,*

*(5)“Explored the arithmetic data”,*