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| There's no evidence given so far that says `DumpSave` doesn't work. Here's an example that does work. populations = ExampleData[{"Dataset", "StatePopulations"}]; DumpSave["pop.mx", populations]; Now either quit the kernel or exit... |
| The expected value for a uniform distribution is the the average of the min and max. So what purpose is the statement `x=95`? |
| Gianluca's suggestion is many times what you want. In this case a little work finds a general formula for the first part of the paper. The paper deals with asymptotic properties of some statistics but for *Mathematica* easily finds the exact... |
| Formatting should look better now. |
| Thank you all for pointing out the issues! As for the formulas: Variance of a sample has different scaling factor, hence the difference. Use the second CentralMoment instead: ``` In[175]:= data = {1, 2, 3}; In[176]:= wd = WeightedData[data,... |
| What about: obj=nf["FunctionExpression"]; FindMinimum[{obj,a>0&&k2>0},{a,k2}] FindMinimum[{obj,True},{a,k2}] FindMinimum[obj,{a,k2}] (* Out[24]= {146.814,{a->866.073,k2->0.0300234}} Out[25]=... |
| Some functions treat arbitrary-precision numbers as above machine-precision numbers. They are different kinds of numbers. Exact numbers are above arbitrary-precision and machine-precision numbers. See the... |
| ## Examples Some example for you. Sorry I don't have time to explain. ### Series approach (* match expression to c Tan[k t + ArcTan[a]] == c(a+Tan[k t])/(1-a Tan[k t]) via Series *) tanSumReduce // ClearAll; tanSumReduce[expr :... |
| Hi Jim, I'll take the liberty of answering for Marius. His very useful model is a Tanh[r Sin[k (x - x0)]]+b Assuming a and r are chosen not negative. By inspection, it is at a maxima when the Sin function is at +1, where it has a value of... |
| I appreciate your interest. This is an assignment in a physics class on using computers for statistical analysis. This image is part of one problem focusing on the Central Limit Theorem. Its purpose is to illustrate that Poisson is a skewed... |