
• mathStatica 2.72  for Mathematica 11
• Core mathStatica code is up 20% since version 2.5 (doubled since version 2.0)
• Requires: Mathematica 11. Also compatible with 10 or 9 

A. Totes amazeballs automated Plotting
Let random variable X have pdf f(x):

B. Elegant Piecewise Processing Engine
mathStatica 2.7’s piecewise processing engine provides beautiful support for piecewise functions, with clean and elegant solutions that are streets ahead of anything else available.
For example, here we compare mathStatica 2.7’s elegant output to Mathematica 11 output (by itself), for exactly the same problem ... calculating a cdf:
??

C. Even more Distributions
mathStatica, of course, handles infinitely many distributions (univariate or multivariate). For ease and convenience, mathStatica 2.7 adds another 40 univariate distributions to the builtin palettes, offering simple easy oneclick access.
Continuous 

Discrete 
alphaLaplace distribution (see Linnik distribution) A cute Linear distribution ArcSine distribution asymmetric Laplace distribution Azzalini's skewNormal distribution Bates distribution Beta distribution Beta distribution of the second kind (see Inverted Beta distribution) Biweight distribution Birnbaum–Saunders distribution Box–Tiao distribution (see Subbotin distribution) Bradford distribution Burr Type III distribution Burr Type XII distribution Cardioid distribution Cauchy distribution Chi distribution Chisquared distribution Cosine distribution Cosinus distribution Dagum Type I distribution Double Epanechnikov distribution Double Exponential distribution (see Laplace distribution) Double Freud distribution (see Reflected Freud distribution) Double Gamma distribution (see Reflected Gamma distribution) Double Weibull distribution (see Reflected Weibull distribution) Epanechnikov distribution Exponential distribution Extreme Value distribution Fisher's F distribution folded Normal distribution Fréchet distribution Freud distribution Gamma distribution Gaussian distribution (see Normal distribution) Generalised Beta distribution Generalised Normal distribution (see Subbotin distribution) Gumbel Type I distribution (see Extreme Value distribution) Hahn distribution halfCauchy distribution halfHalo distribution halfLogistic distribution halfNormal distribution Hyperbolic Secant distribution Inverse Chisquared distribution Inverse Gamma distribution Inverse Gaussian distribution Inverse Triangular distribution Inverted Beta distribution IrwinHall distribution Johnson family distributions Kumaraswamy distribution Laplace distribution Leipnik distribution Levy distribution Lindley distribution Linnik distribution Logistic distribution Loglogistic distribution Lognormal distribution Lomax distribution MaxwellBoltzmann distribution Moyal distribution noncentral Chisquared distribution noncentral F distribution Normal distribution Normal twocomponentmix distribution Pareto distribution Pareto II distribution (see Lomax) Pearson family distributions Power Exponential distribution (see Subbotin distribution) Power Function distribution Power semicircle distribution Quartic distribution (see Biweight distribution) Random Walk distribution Rayleigh distribution Rectangular distribution (see Uniform distribution) Reflected Freud distribution Reflected Gamma distribution Reflected Weibull distribution Rice distribution scaled Beta distribution semicircle distribution shifted Exponential distribution Sinc^{2} distribution Sine^{2} distribution skewNormal distribution skewV distribution stable distribution Stacy distribution STSP (Standard TwoSided Power) distribution Student's t distribution Subbotin distribution ToppLeone distribution Trapezoidal distribution Tricubic distribution Triweight distribution Triangular distribution Truncated Normal distribution Uquadratic distribution Uniform distribution V distribution Wald distribution (see Inverse Gaussian) Weibull distribution Z distribution


Banach distribution Bernoulli distribution BetaBinomial distribution BetaGeometric distribution Binomial distribution difference of 2 Geometric distribution DiGamma distribution discrete Pareto distribution (see Riemann Zeta distribution) Dubey distribution Estoup distribution Fibonacci distribution Flory distribution Geometric distribution Geometric[0, ∞] distribution GrossMiller Geometric distribution Haight's Zeta distribution Holla distribution Hunter Geometric distribution Hypergeometric distribution Inverse Binomial distribution JacksonNickols distribution Kelly distribution Kupper distribution Lehmann distribution Logarithmic distribution Lotka distribution Miller distribution MoranGani distribution NaorPoisson distribution Negative Binomial distribution OrdGeometric distribution (see Twosided Geometric) Pascal distribution Poisson distribution Poisson twocomponentmix distribution PoissonLindley distribution PolyaAeppli distribution Prasad distribution Rademacher distribution Rectangular distribution (see Uniform distribution) Riemann Zeta distribution SchwarzTversky (Type 1) distribution SchwarzTversky (Type 3) distribution SchwarzTversky (Type 4) distribution Simon distribution Srinivasan distribution Takacs distribution Tambouratzis distribution Triangular distribution Triangular of order λ distribution TriGamma distribution Twosided Geometric distribution Uniform[0,n] distribution (discrete) Uniform[a,b] distribution (discrete) Waitingtime Negative Binomial distribution Waring distribution Yanagimoto distribution (see Inverse Binomial) Yule distribution ZeroInflated Poisson distribution (ZIP) Zeta distribution (see Riemann Zeta) Zipf distribution ZipfMandelbrot distribution

The distribution palettes have also been significantly updated and reorganised, and are now sorted both alphabetically and by domain of support, with appropriate forms for each distribution already setup for each domain of support, for maximum ease of use.

D. Parallel Processing Engine
mathStatica 2.7’s parallel processing engine unleashes the power of your computer — automatically — featuring phenomenal speed and power for users with multiprocessor machines ...
Timings in seconds using Mathematica 11 running on Mac Pro computer

E. Help System ... decidedly uber
Click to view

F. Major New Functions in 2.x
RandomNumber

– 
random number generation for essentially any discrete or continuous univariate distribution 
Maximum
Minimum 
– 
pdf of max(X, Y, Z, ...) [ Show me ]

TransformProduct 
– 
pdf of X * Y
[ Show me ] 
OrderStatNonIdentical 
– 
pdf of order statistics sampling from nonidentical parent distributions
[ Show me ] 
JohnsonSU
JohnsonSL 
– 
automated fitting for the Johnson S_{U} and S_{L} family

Nonrectangular domains 
– 
greatly enhanced support 
Multivariate discrete 
– 
seamlessly extended to core functions 
Unbiased estimators 
– 
now all multivariate ... The entire suite of unbiased estimator functions now support arbitrary multivariate worlds. 
Moments of moments 
– 
now all multivariate ...
The entire suite of moments of moments functions are now multivariate.
e.g. Find the covariance between, say: and
[ Show me ] 

G. Palettes in 2.7
mathStatica supports infinitely many distributions.
In fact, there are so many new distributions in mathStatica 2.7, there isn’t enough space to fit them all on screen. The new continuous and discrete palettes now have a scrolling design that allows us to add unlimited numbers of distributions, and to display them both alphabetically and sorted by domain of support.

H. Easy to use

– 
Simply press the 'Start' button ... Incredibly easy!


I. Rose and Smith (latest edition)
Latest book edition!
Takes full advantage of the latest v11 frontend interface:
 realtime interactive animations
 dynamic links
 fully compatible with Mma 11
 singleclick to open any section
 all seamlessly integrated into the v11 build
 now available with all solutions
Uptodate electronic Mathematica text!
Single download includes everything!




