Skip to main content Skip to main navigation menu Skip to site footer
  • Current
  • Archives
  • Submissions
  • Reviews
  • Aims and scope
  • Supplementary materials
  • About
    • About the Journal
    • Journal Statistics
    • Editorial Team
    • Privacy Statement
    • Publishing ethics
    • Contact
Search
  • Register
  • Login
  1. Home /
  2. Econometrics, Statistics, Mathematics - Methods and Methodology

Econometrics, Statistics, Mathematics - Methods and Methodology

8 Items

All Items

  • Synthetic Financial Data: A Case Study Regarding Polish Limited Liability Companies Data

    Aleksandra Szymura
  • Regional Volatility Linkages: Impact of Neighbouring Currencies on Nigeria's Currency Instability

    Abdurrauf Babalola, Kudu Ibn Muhammad
  • Isolation Forests for Symbolic Data as a Tool for Outlier Mining

    Marcin Pełka, Andrzej Dudek
  • Household Production Satellite Account as an Integral Account for Estimating Value Added in the National Economy

    Marta Marszałek
  • Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering

    Piotr Szczepocki
  • Asymptotic Normality of Single Functional Index Quantile Regression for Functional Data with Missing Data at Random

    Anis Allal, Nadia Kadiri, Abbes Rabhi
  • An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study

    Filip Wójcik
  • A United Probabilistic Approach to Minimising the Sum of Absolute Values

    Changyong Feng, Honghong Liu, Ethan Poon, Ge Feng

Make a Submission

Make a Submission

Archive

All issues released before 2019 are available at Lower Silesian Digital Library.

Indexing Services

Biblioteka Nauki logo

ERIHPlus logo

BazEkon logo

Points

40 points

on Ministry of Education and Science journal evaluation list (2023)

Publisher

Publishing House of Wroclaw University of Economics and Business
ul. Komandorska 118/120, bud. W
53-345 Wrocław

All work on this website is licensed under CC BY-SA 4.0 license.

Creative Commons License

This website uses OJS – free and open source software released under GNU GPL version 3 license.

More information about the publishing system, Platform and Workflow by OJS/PKP.