Quantos - Statistics & Information Systems
    • +30 210 92 38 186-7
    • [email protected]
    • Sygrou 154, GR 17671, Athens
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Quantos > Statistical Services > Data Analysis

Data Analysis

QUANTOS specializes in the application of statistical methods for the advanced analysis of all kinds of data. Except from descriptive statistics, some indicative techniques are:

  • Factor analysis on customer survey data for the extraction of information showing the underlying composite customer attitudes or stances.
  • Cluster analysis for the grouping of data based on similarities in certain characteristics.
  • Generalized Linear Modelling (GLM) for the measurement of effects on a general “response” variable (for example, logistic regression for yes/no responses).
  • Multiple Analysis of Variance (MANOVA) for the modelling of effects on more than one dependent variable.
  • Non-parametric methods for cases where the usual assumption of Νormally distributed observations or statistics is not justified.
  • Time series analysis techniques.

QUANTOS

QUANTOS is a company active in the fields of applied statistics and advanced quantitative methods since 1997. QUANTOS was first established in France by a group of academic statisticians whose vision was the development of an organization capable of offering high quality consulting services and comprehensive solutions in statistics, general analytical areas and supporting IT infrastructure.

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Services

  • Statistical Services
  • Analytical Consulting
  • Tailor made solutions

Info

+30 210 92 38 186-7

[email protected]

Sygrou 154, GR 17671, Athens, Greece

© Copyright 2017 Quantos-stat.– WEB DESIGN CREATED BY LIGHTHOUSE

  • Company
    • History
    • Vision
    • People
    • Quality Policy
    • Personal Data Protection Policy
    • Information Security Policy
  • Services
    • Statistical Services
    • Analytical Consulting
    • Tailor made solutions
  • Sectors
    • Official Statistics
    • Banking and Finance
    • Market and Business Solutions
  • News
  • Contact
  • e-Learning