Doç. Dr. Fatma Sevinç KURNAZ

Yayın Ağı

SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler 10

1. The robustified Liu-type estimator for low- and high-dimensional data

Kurnaz F. S.

COMMUNICATIONS IN STATISTICS PART B: SIMULATION AND COMPUTATION , cilt.4, ss.1-25, 2025 (SCI-Expanded)

2. Robust and sparse multinomial regression in high dimensions

Kurnaz F. S., Filzmoser P.

DATA MINING AND KNOWLEDGE DISCOVERY , cilt.1, ss.1-25, 2023 (SCI-Expanded)

3. A Comparative Assessment of Municipal Water Use in Turkey

Güneş M. Ş., Yıldız D., Kurnaz F. S.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT , cilt.148, sa.2, 2022 (SCI-Expanded)

4. Forecasting drought using neural network approaches with transformed time series data

Evkaya O. O., KURNAZ F. S.

JOURNAL OF APPLIED STATISTICS , cilt.48, sa.13-15, ss.2591-2606, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma

5. Performances of some high dimensional regression methods: sparse principal component regression

KURNAZ F. S.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.50, sa.9, ss.2529-2543, 2021 (SCI-Expanded)

6. Performances of some high dimensional regression methods

KURNAZ F. S.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.50, sa.6, ss.1820-1836, 2021 (SCI-Expanded)

7. Robust and sparse estimation methods for high-dimensional linear and logistic regression

KURNAZ F. S., Hoffmann I., Filzmoser P.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , cilt.172, ss.211-222, 2018 (SCI-Expanded)

8. Matrix mean squared error comparisons of some biased estimators with two biasing parameters

KURNAZ F. S., Akay K. U.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS , cilt.47, sa.8, ss.2022-2035, 2018 (SCI-Expanded)

9. A robust Liu regression estimator

Filzmoser P., KURNAZ F. S.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.47, sa.2, ss.432-443, 2018 (SCI-Expanded)

10. A new Liu-type estimator

KURNAZ F. S., Akay K. U.

STATISTICAL PAPERS , cilt.56, sa.2, ss.495-517, 2015 (SCI-Expanded)

Diğer Dergilerde Yayınlanan Makaleler 5

1. Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study

Evkaya Ö. O., Kurnaz F. S., Özdemir O., Yiğit P.

SN Computer Science , cilt.6, ss.1-29, 2025 (Scopus)

2. The Impact of Prior Based Loss Function for Elliptical Regression Models

Arashi M., Kurnaz F. S., Mammodekhan N.

Sinop Üniversitesi Fen Bilimleri Dergisi , cilt.9, sa.2, ss.551-571, 2024 (Hakemli Dergi)

3. A Comparative Study of Marriage-Divorce and Related Factors in Türkiye’s Regions Using Kohonen SOM - MDS Tandem and MULTIMOORA Approaches

Yiğit P., Kurnaz F. S.

SN Computer Science , cilt.5, ss.1-18, 2024 (Scopus)

4. enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression

Kurnaz F. S., Filzmoser P.

The Journal of Open Source Software , cilt.8, sa.82, ss.1-8, 2023 (Hakemli Dergi)

5. Some Regression Methods Based on Principal Components

Kurnaz F. S.

Gümüşhane Üniversitesi Fen Bilimleri Dergisi , cilt.10, sa.1, ss.581-591, 2020 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 17

1. Uçak Bakım ve Onarım Verileri ile İstatistiksel Uygulama

Doğan O. B., Kurnaz F. S.

6th International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech 2025), Ankara, Türkiye, 25 - 27 Haziran 2025, ss.1-2, (Özet Bildiri)

2. Crypto Price Similarity: An Investigation Using Cross Correlation

Doğan O. B., Kurnaz F. S.

V. International Applied Statistic Congress (UYIK-2024), İstanbul, Türkiye, 21 - 23 Mayıs 2024, cilt.1, ss.1, (Özet Bildiri)

3. Investigation Of Marriage-Divorce Pattern Of Turkish Regions Using MCDM And Machine Learning Approaches

Yiğit P., Kurnaz F. S., Evkaya Ö. O.

V. International Applied Statistic Congress (UYIK-2024), İstanbul, Türkiye, 21 - 23 Mayıs 2024, cilt.1, ss.2, (Özet Bildiri)

4. Robustified Elastic Net Estimator for Multinomial Regression

Kurnaz F. S., Filzmoser P.

The 17th conference of the International Federation of Classification Societies (IFCS 2022), Porto, Portekiz, 18 - 23 Temmuz 2022, ss.78, (Özet Bildiri)

5. Robust multinomial regression in high dimensions

Filzmoser P., Kurnaz F. S.

International Conference on Robust Statistics (ICORS 2022), Ontario, Kanada, 5 - 08 Temmuz 2022, ss.20-21, (Özet Bildiri)

6. Drought Monitoring of Marmara Region using Novel Machine Learning Tools

Kurnaz F. S., Evkaya Ö. O.

11th International Statistics Congress (ISC2019), Muğla, Türkiye, 4 - 08 Ekim 2019, ss.13, (Özet Bildiri) Sürdürülebilir Kalkınma

7. The Changes in Last 10 Years of the Marriage and Divorce Statistics Based on Regions of Level 1 According Statistical Regional Units Classification (NUTS) in Turkey and Age Groups: Examples 2008 and 2018

Kurnaz F. S.

11th International Statistics Congress (ISC2019), Muğla, Türkiye, 4 - 08 Ekim 2019, ss.1, (Özet Bildiri)

8. COMPARISON OF LEAST SQUARE METHOD, RIDGE AND LIU ESTIMATORS IN SAANEN GOATS

Tırınk C., Önder H., Kurnaz F. S.

International Congress on Domestic Animal Breeding, Genetics and Husbandry 2019 (ICABGEH-19), Praha, Çek Cumhuriyeti, 11 - 13 Eylül 2019, ss.15, (Özet Bildiri)

9. Robust and Sparse Methods for Regression and Classification in High Dimensions

Filzmoser P., Kurnaz F. S., Hoffmann I.

International Conference on Data Science, Machine Learning and Statistics - 2019 (DMS-2019), Van, Türkiye, 27 - 29 Haziran 2019, ss.12, (Özet Bildiri)

10. Outlier Detection and Variable Selection for Count Data

KURNAZ F. S.

11. International Statistics Days Conference, Muğla, Türkiye, 03 Ekim 2018, ss.100, (Özet Bildiri)

11. Comparison of some robust methods in nonlinear regression

KURNAZ F. S., Tez M.

The International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat2018), Poznan, Polonya, 20 Ağustos 2018, ss.104, (Özet Bildiri)

12. Robustified Elastic Net Estimator for Regression and Classification

KURNAZ F. S., Hoffmann I., Filmzoser P.

10th International Statistics Congress 2017, Ankara, Türkiye, 06 Aralık 2017, ss.92, (Özet Bildiri)

13. Classification of Hepatit Disease Using Support Vector Machines and Decision Tree

ünsal ü., KURNAZ F. S., turhan k.

10th International Statistics Congress, Ankara, Türkiye, 06 Aralık 2017, ss.124, (Özet Bildiri) Sürdürülebilir Kalkınma

14. ROBUST AND SPARSE ESTIMATION METHODS FOR HIGH DIMENSIONAL LINEAR AND LOGISTIC REGRESSION

Kurnaz F. S., Hoffmann I., Filzmoser P.

European Conference on Data Analysis (ECDA), Wroclaw, Polonya, 27 - 29 Eylül 2017, ss.36, (Özet Bildiri)

15. A Robust Liu Regression Estimator

KURNAZ F. S., Filzmoser P.

The International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat2014), Linköping, İsveç, 24 Ağustos 2014, ss.58-59, (Özet Bildiri)

16. A New Liu-type Estimator

KURNAZ F. S., akay k. u.

The International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat2012), Poznan, Polonya, 16 Temmuz 2012, ss.123, (Özet Bildiri)

17. İki Yanlılık Parametresi İçeren Bazı Yanlı Tahmin Edicilerin Karşılaştırılması

Kurnaz F. S., Akay K. U.

ICEOS-2012/EYİ-2012: 13th International Conference on Econometrics, Operations Research and Statistics, Gazimagusa, Kıbrıs (Kktc), 24 Mayıs 2012, ss.260, (Özet Bildiri)

Kitaplar 6

Diğer Yayınlar 2

1. enetLTS: Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression

Kurnaz F. S., Filzmoser P.

Diğer, ss.1-20, 2022

2. enetLTS: robust and sparse methods for high dimensional linear and logisticregression.R package version 0.1.0, https://CRAN.R-project.org/package=enetLTS

KURNAZ F. S., Hoffmann I., Filzmoser P.

Diğer, ss.1, 2018

Metrikler

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