**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”,