Dr. Öğr. Üyesi MEHMET SIDDIK ÇADIRCI


Fen Fakültesi, İstatistik ve Bilgisayar Bilimleri Bölümü

İstatistik ve Bilgisayar Bilimleri


WoS Araştırma Alanları: Temel Bilimler (Sci)


Avesis Araştırma Alanları: İstatistik Analiz ve Uygulamaları

Biyografi

Dr. Mehmet Siddik Cadirci is an accomplished academic and researcher in the field of statistics, currently serving as an Assistant Professor at Cumhuriyet University, Turkey. He completed his Ph.D. at Cardiff University, focusing on entropy-based goodness-of-fit tests for multivariate distributions. Dr. Cadirci's expertise spans a range of statistical applications, including regression analysis, data analysis, statistical experiment design, and probability. He has contributed to the academic community through various roles at Cardiff University and has published several notable papers on statistical topics. Additionally, he possesses strong skills in programming languages such as Python, R, and SQL, and is proficient in both English and Turkish.

Eğitim Bilgileri

2018 - 2022

2018 - 2022

Doktora

University of Wales, Cardiff, Science Faculty, Department of Mathematics and Statistics, İngiltere

2016 - 2017

2016 - 2017

Yüksek Lisans

The University of Sussex, Science Faculty, Department of Statistics and Math, İngiltere

2013 - 2014

2013 - 2014

Yüksek Lisans

Fırat Üniversitesi, Faculty of Science, Department of Mathematics, Türkiye

2007 - 2011

2007 - 2011

Lisans

Van Yüzüncü Yıl Üniversitesi, Fen Fakültesi, Türkiye

Yaptığı Tezler

2022

2022

Doktora

Entropy-based goodness-of-fit testsfor multivariate distributions

2017

2017

Yüksek Lisans

Replication crisis in psychology mainly is an emergency

Yabancı Diller

C1 İleri

C1 İleri

İngilizce

Sertifika, Kurs ve Eğitimler

2016

2016

International Postgraduate Study Abroad Scholarship Program

Finans

Graduate study abroad scholarship program run by the Ministry of National Education

Araştırma Alanları

İstatistik Analiz ve Uygulamaları

Akademik Faaliyetlere Dayalı Araştırma Alanları

Avesis Araştırma Alanları

    WoS Araştırma Alanları

      Scopus Araştırma Alanları

        Makaleler

        Tümü (6)
        SCI-E, SSCI, AHCI (5)
        SCI-E, SSCI, AHCI, ESCI (5)
        Scopus (5)
        TRDizin (1)

        Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler

        2025

        2025

        1. Monte Carlo Simulations and Renewable Energy Scenarios: Dealing with Uncertainty Using Statistical Estimations

        ÇADIRCI M. S.

        7th International Conference on Statistics: Theory and Applications, ICSTA 2025, Paris, Fransa, 17 - 19 Ağustos 2025, (Tam Metin Bildiri) identifier

        2024

        2024

        2. Managing the Replication Crisis: Difficulties and Prospects in Psychology with an Emphasis on Statistics

        ÇADIRCI M. S.

        V. International Applied Statistics Conference (UYIK - 2024), İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.618-626, (Tam Metin Bildiri)

        2024

        2024

        3. For Dependent Observations: to Generalise the Nearest Neighbour Method

        ÇADIRCI M. S.

        10th International Conference on Advances in Statistics, Budapest, Macaristan, 19 - 21 Nisan 2024, (Özet Bildiri)

        2024

        2024

        4. Using Logistic Regression and Decision Tree Algorithms E-Commerce Customer Churn Analysis

        ÇADIRCI M. S.

        6th International Conference on Statistics: Theory and Applications, ICSTA 2024, Barcelona, İspanya, 19 - 21 Ağustos 2024, (Tam Metin Bildiri) identifier

        Kitaplar

        2023

        2023

        1. A Critical Analysis of the Replication Crisis in Psychology

        Çadirci M. S.

        Science and Mathematics in a Globalizing World, Assoc.Prof.Dr. Nahide Gülşah DENİZ, Editör, Duvar Yayınları, İzmir, ss.64-80, 2023

        Desteklenen Projeler

        2025 - 2026

        2025 - 2026

        Monte Carlo Simülasyonu ile Yenilenebilir Enerji Talep Tahmini ve Küresel Eğilim Analizi

        Yükseköğretim Kurumları Destekli Proje , BAP Araştırma Projesi

        (Proje Özeti)
        Çadirci M. S.