Warning: [obfuscated](): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone. in /home/paknaz/public_html/index.php on line 0
Program pages XLSTAT 2013.5
Paknaz Windows Business Math & Scientific Tools XLSTAT

XLSTAT SERIAL , CRACK FULL VERSION DOWNLOAD

XLSTAT is a data analysis and statistics add-in for MS Excel

Download Now

XLSTAT 2013.5

Download Now
User Rating:
  • Currently 0/5
Visitors Rating:
  • Currently 0/5

Add your review!

OS Support: WinXP, Win7 x32, Win7 x64, Windows 8, WinServer, Win Vista

Version 2013.5

Size 55.83Mb

Hits: 710 visitors

Downloads: 340

License: Demo

Price: 275 USD (Buy Now)

Date added: 14 Oct 2013

Last Update: 03 Oct 2013

See full specifications
Publisher's description
XLSTAT is a complete analysis and Statistics add-in for MS Excel that has been developed since 1993. XLSTAT is a modular statistical software built around XLSTAT-Pro - the core product of Addinsoft. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate Data analysis package.
It includes Regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much more. Complementary modules are available for 3D visualization, Preference Mapping, time series analysis, Conjoint analysis, PLS approach...
XLSTAT's statistical analysis software is compatible with all Excel versions from version 97 to version 2013, and is compatible with the Windows 9x till Windows 8 systems. A Mac version is also available on the XLSTAT website.

Available Translations: None



Popular related

Statistics | Data analysis | Excel | Forcasting | Add-in | Regression | Principal components | ANOVA | mixed models | general linear model | Distribution | modeling | descriptive statistics | tests | parametric | non-parametric |