TIBCO Statistica 14 analytical and statistical CRACKED LICENSE

Statistica is an analytical and statistical software package.

This software provides data analysis, data management, data mining and data visualization methods for the user. If you need to draw high-quality statistical graphs for printing or other software cannot draw the graph you need, be sure to try this software.

This software is of interest to many large industrial companies in the world and has capabilities that other software does not have, for example, we can mention the network version of this software or the ability to simultaneously analyze several clients by a data set and the ability to perform calculations on the network using the Internet and the integration of different databases in different parts of the world on different company servers.
Statistica is an analytical and statistical software package. This software provides data analysis, data management, data mining and data visualization methods for the user. If you need to draw high-quality statistical graphs for printing or other software cannot draw the graph you want, be sure to try this software.

This software is of interest to many large industrial companies in the world and has capabilities that other software does not have, for example, the network version of this software can be mentioned or the possibility of simultaneous analysis of multiple clients on a data set and the possibility of performing calculations on the web using the Internet and integrating different databases in different parts of the world on different servers of a company.

 

Features and characteristics of Statistica software  :

– Division of scientific and software topics under the title of related modules
– Ability to perform non-parametric data analysis
– Ability to draw and present hundreds of graphic representations with a dynamic connection between graphs and data (ie the connection that graphs change with changing data)
– Ability to perform analysis One-way and multivariate analysis of variance and covariance
– Ability to draw quality control diagrams and analyze them as well as edit these diagrams
– Ability to solve problems through neural networks and also the existence of an easily and accessible expert system
– Ability to fit all distributions to numerical data
– Ability to customize, automate and develop
– Ability to perform descriptive statistics, correlation coefficient, calculation of probabilities and 2
– Types of regression, especially regression with thousands of variables
Ability to analyze time series and design and analyze experiments