Software Alternatives & Reviews
Register   |   Login

SHAZAM (statistical analysis) VS Montecarlito

Compare SHAZAM (statistical analysis) VS Montecarlito and see what are their differences


SHAZAM is a comprehensive computer program for econometricians, statisticians, biometricians, sociometricians, psychometricians, politicometricians and others who use statistical techniques.

MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.
SHAZAM (statistical analysis) Landing Page
SHAZAM (statistical analysis) Landing Page
Not present

SHAZAM (statistical analysis) details

Categories
Technical Computing Numerical Computation Data Dashboard
Website econometrics.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Montecarlito details

Categories
Technical Computing Numerical Computation Data Dashboard
Website montecarlito.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Category Popularity beta

0-100% (relative to SHAZAM (statistical analysis) and Montecarlito)
48
48%
52%
52
48
48%
52%
52
48
48%
52%
52

What are some alternatives?

When comparing SHAZAM (statistical analysis) and Montecarlito, you can also consider the following products

R Lang - R is a free software environment for statistical computing and graphics.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

PSPP - PSPP is a free software application for analysis of sampled data.

RKWard - RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet...

SOFA Statistics - SOFA Statistics Open For All - the user-friendly, open-source statistics, analysis, & reporting software package.

User comments

Share your experience with using SHAZAM (statistical analysis) and Montecarlito. For example, how are they different and which one is better?

Add Comment