FinancialBond (Built-in Mathematica Symbol)

FinancialBond[params, ambientparams] gives the value of a financial bond instrument.FinancialBond[params, ambientparams, prop] computes the specified property prop.

Perform a Monte Carlo Simulation (Mathematica How To)

Monte Carlo methods use randomly generated numbers or events to simulate random processes and estimate complicated results. For example, they are used to model financial ...

Sort (Built-in Mathematica Symbol)

Sort[list] sorts the elements of list into canonical order. Sort[list, p] sorts using the ordering function p.

VectorDensityPlot (Built-in Mathematica Symbol)

VectorDensityPlot[{{v_x, v_y}, s}, {x, x_min, x_max}, {y, y_min, y_max}] generates a vector plot of the vector field {v_x, v_y} as a function of x and y, superimposed on a ...

Hypothesis Testing Package (Hypothesis Testing Package Tutorial)

This package contains functions for computing confidence intervals from data and p-values and confidence intervals for distributions related to the normal distribution. Given ...

Manipulating Notebooks from the Kernel (Mathematica Tutorial)

If you want to do simple operations on Mathematica notebooks, then you will usually find it convenient just to use the interactive capabilities of the standard Mathematica ...

Computer Arithmetic Package (Computer Arithmetic Package Tutorial)

The arithmetic used by Mathematica is a mixture of variable-precision software arithmetic and whatever is provided by the manufacturer of the floating-point hardware (or the ...

Expand (Built-in Mathematica Symbol)

Expand[expr] expands out products and positive integer powers in expr. Expand[expr, patt] leaves unexpanded any parts of expr that are free of the pattern patt. >

LogNormalDistribution (Built-in Mathematica Symbol)

LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].

Replace or Remove Invalid or Missing ... (Mathematica How To)

In data analysis, it is often necessary to clean a dataset before analyzing it. Data points with missing entries or that contain invalid values must be removed or replaced by ...