Yayınlar & Eserler

Yayın Ağı
Makaleler 55
Tümü (55)
SCI-E, SSCI, AHCI (48)
SCI-E, SSCI, AHCI, ESCI (50)
ESCI (2)
Scopus (48)
TRDizin (2)
Diğer Yayınlar (3)

1. Penalized spatial function-on-function regression

Beyaztaş U., Shang H. L., Sezer G. B.
STATISTICS AND COMPUTING , cilt.36, sa.1, ss.1-22, 2026 (SCI-Expanded, Scopus)

2. Enhancing spatial functional linear regression with robust dimension reduction methods

Beyaztaş U., Mandal A., Shang H. L.
JOURNAL OF MULTIVARIATE ANALYSIS AN INTERNATIONAL JOURNAL , cilt.211, ss.1-18, 2026 (SCI-Expanded, Scopus)

3. Life-extending interventions do not necessarily result in compression of morbidity: a case example offering a robust statistical approach

Thapa D. K., Najam W., Parker E. S., Wang X. R., Smith D. L., Beyaztaş U., et al.
GEROSCIENCE (BERLIN) , sa.1, ss.1-19, 2025 (SCI-Expanded, Scopus) identifier identifier

4. Stock Return Prediction Based on a Functional Capital Asset Pricing Model

Beyaztaş U., Ji K., Shang H. L., Wu E.
JOURNAL OF FORECASTING , cilt.44, ss.1-20, 2025 (SSCI)

5. Robust functional logistic regression

Akturk B., Beyaztas U., Shang H., Mandal A.
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION , cilt.19, sa.1, ss.121-145, 2025 (SCI-Expanded) identifier identifier

6. Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model

Biçkici Arıkan B., Beyaztaş B. H., Yaseen Z. M., Beyaztaş U., Kahya E.
JOURNAL OF FLOOD RISK MANAGEMENT , cilt.18, sa.1, ss.1-13, 2025 (SCI-Expanded)

7. Robust Function-on-Function Regression: A Penalized Tau-based Estimation Approach

Beyaztaş U.
International journal of advances in engineering and pure sciences (Online) , cilt.37, ss.1-6, 2025 (Hakemli Dergi)

8. Spatial Function-on-Function Regression

BEYAZTAŞ U., Shang H. L., Sezer G. B., Mandal A., Zoh R. S., Tekwe C. D.
Journal of Agricultural, Biological, and Environmental Statistics , 2025 (SCI-Expanded) identifier

9. Penalized function-on-function linear quantile regression

Beyaztaş U., Shang H. L., Saricam S.
Computational Statistics , cilt.40, sa.1, ss.301-329, 2025 (SCI-Expanded) identifier

10. Locally sparse and robust partial least squares in scalar-on-function regression

Gurer S., Shang H. L., Mandal A., Beyaztaş U.
STATISTICS AND COMPUTING , cilt.34, sa.5, ss.1-17, 2024 (SCI-Expanded) identifier

11. Development of Functional Quantile Autoregressive Model for River Flow Curve Forecasting

MUTİŞ M., BEYAZTAŞ U., Simsek G. G., Shang H. L., Yaseen Z. M.
Earth and Space Science , cilt.11, sa.8, 2024 (SCI-Expanded) identifier

12. On function-on-function linear quantile regression

Mutis M., Beyaztas U., Karaman F., Lin Shang H.
JOURNAL OF APPLIED STATISTICS , cilt.52, ss.1-27, 2024 (SCI-Expanded) identifier identifier

13. Robust scalar-on-function partial quantile regression

Beyaztaş U., Tez M., Lin Shang H.
JOURNAL OF APPLIED STATISTICS , cilt.50, ss.1-19, 2024 (SCI-Expanded) identifier identifier identifier

14. Robust function-on-function interaction regression

Beyaztaş U., Shang H. L., Mandal A.
STATISTICAL MODELLING , cilt.2023, ss.1-21, 2023 (SCI-Expanded)

15. Robust Functional Linear Regression Models

Beyaztas U., Lin Shang H.
R JOURNAL , cilt.15, sa.1, ss.121-233, 2023 (SCI-Expanded) identifier

16. A robust scalar-on-function logistic regression for classification

Mutis M., Beyaztaş U., Simsek G. G., Shang H. L.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS , cilt.52, sa.23, ss.8538-8554, 2023 (SCI-Expanded) identifier identifier

17. On partial least-squares estimation in scalar-on-function regression models

Saricam S., Beyaztaş U., Asikgil B., Shang H. L.
JOURNAL OF CHEMOMETRICS , cilt.36, sa.12, 2022 (SCI-Expanded) identifier identifier

18. Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction

Bhagat S. K., Tiyasha T., Al-Khafaji Z., Laux P., Ewees A. A., Rashid T. A., et al.
COMPLEXITY , cilt.2022, ss.1-17, 2022 (SCI-Expanded) Sürdürülebilir Kalkınma identifier

19. A robust partial least squares approach for function-on-function regression

Beyaztaş U., Shang H. L.
BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS , cilt.36, sa.2, ss.199-219, 2022 (SCI-Expanded) identifier identifier

20. A robust functional partial least squares for scalar-on-multiple-function regression

BEYAZTAŞ U., Shang H. L.
JOURNAL OF CHEMOMETRICS , cilt.36, sa.4, 2022 (SCI-Expanded) identifier identifier

21. Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates

BEYAZTAŞ U., Shang H.
FORECASTING , cilt.4, sa.1, ss.394-408, 2022 (ESCI) identifier identifier

22. Function-on-Function Partial Quantile Regression

BEYAZTAŞ U., Shang H. L., ALIN A.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS , cilt.27, sa.1, ss.149-174, 2022 (SCI-Expanded) identifier identifier

23. Function-on-Function Linear Quantile Regression

Beyaztaş U., Shang H. L.
MATHEMATICAL MODELLING AND ANALYSIS , cilt.27, sa.2, ss.322-341, 2022 (SCI-Expanded) identifier identifier

24. Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

Beyaztas U., Shang H. L.
JOURNAL OF APPLIED STATISTICS , cilt.49, sa.5, ss.1179-1202, 2022 (SCI-Expanded) Creative Commons License identifier identifier identifier

25. A comparison of parameter estimation in function-on-function regression

Beyaztas U., Shang H. L.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.51, sa.8, ss.4607-4637, 2022 (SCI-Expanded) Creative Commons License identifier identifier

26. Functional linear models for interval-valued data

Beyaztas U., Shang H. L., Abdel-Salam A. G.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.51, sa.7, ss.3513-3532, 2022 (SCI-Expanded) Creative Commons License identifier identifier

27. Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

Tao H., Ewees A. A., Al-Sulttani A. O., Beyaztas U., Hameed M. M., Salih S. Q., et al.
Energy Reports , cilt.7, ss.136-157, 2021 (SCI-Expanded) identifier identifier

28. Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model

Bhagat S. K., Pyrgaki K., Salih S. Q., Tiyasha T., BEYAZTAŞ U., Shahid S., et al.
Chemosphere , cilt.276, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

29. A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

BEYAZTAŞ U., Shang H. L., Yaseen Z. M.
Journal of Hydrology , cilt.598, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

30. Granger causality of bivariate stationary curve time series

Shang H. L., Ji K., Beyaztas U.
JOURNAL OF FORECASTING , cilt.40, sa.4, ss.626-635, 2021 (SSCI) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

31. A partial least squares approach for function-on-function interaction regression

Beyaztas U., Shang H. L.
COMPUTATIONAL STATISTICS , cilt.36, sa.2, ss.911-939, 2021 (SCI-Expanded) Creative Commons License identifier identifier

32. Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia

Salih S. Q., Alakili I., Beyaztas U., Shahid S., Yaseen Z. M.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , cilt.23, sa.5, ss.8027-8046, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

33. Stationary Bootstrap Based Multi-Step Forecasts forUnrestricted VAR Models

BEYAZTAŞ U., Abdel-Salam A. G.
Journal of Data Science , cilt.18, sa.4, ss.682-696, 2020 (Hakemli Dergi) identifier

34. BLOCK BOOTSTRAP PREDICTION INTERVALS FOR GARCH PROCESSES

BEYAZTAŞ B. H., Beyaztas U.
REVSTAT-STATISTICAL JOURNAL , cilt.18, sa.4, ss.397-414, 2020 (SCI-Expanded) identifier identifier

35. Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation

Ejima K., Brown A. W., Smith D. L., Beyaztas U., Allison D. B.
INTERNATIONAL JOURNAL OF OBESITY , cilt.44, sa.6, ss.1440-1449, 2020 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

36. On function-on-function regression: partial least squares approach

Beyaztas U., Shang H. L.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS , cilt.27, sa.1, ss.95-114, 2020 (SCI-Expanded) Creative Commons License identifier identifier

37. Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Yaseen Z. M., Al-Juboori A. M., Beyaztas U., Al-Ansari N., Chau K., Qi C., et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS , cilt.14, sa.1, ss.70-89, 2020 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

38. Drought interval simulation using functional data analysis

Beyaztas U., Yaseen Z. M.
JOURNAL OF HYDROLOGY , cilt.579, 2019 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

39. Forecasting functional time series using weighted likelihood methodology

Beyaztas U., Shang H. L.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION , cilt.89, sa.16, ss.3046-3060, 2019 (SCI-Expanded) Creative Commons License identifier identifier

40. Assessment of individual bioequivalence using sufficient bootstrap procedure

Beyaztas U.
PHARMACEUTICAL STATISTICS , cilt.18, sa.3, ss.388-398, 2019 (SCI-Expanded) identifier identifier identifier

41. On Jackknife-After-Bootstrap Method for Dependent Data

Beyaztas U., BEYAZTAŞ B. H.
COMPUTATIONAL ECONOMICS , cilt.53, sa.4, ss.1613-1632, 2019 (SCI-Expanded) identifier identifier

42. On block bootstrapping for autoregressive time series models

BEYAZTAŞ B. H., BEYAZTAŞ U.
International Journal of Mathematics and Computation , cilt.30, sa.2, ss.62-75, 2019 (Hakemli Dergi)

43. Construction of functional data analysis modeling strategy for global solar radiation prediction: application of cross-station paradigm

Beyaztas U., Salih S. Q., Chau K., Al-Ansari N., Yaseen Z. M.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS , cilt.13, sa.1, ss.1165-1181, 2019 (SCI-Expanded) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

44. Robust change point detection for linear regression models

Alin A., Beyaztas U., Martin M. A.
STATISTICS AND ITS INTERFACE , cilt.12, sa.2, ss.203-213, 2019 (SCI-Expanded) Creative Commons License identifier identifier

45. Iterated sufficient m-out-of-n (m/n) bootstrap for non-regular smooth function models

BEYAZTAŞ U., ALIN A., Bandyopadhyay S.
Journal of Data Science , cilt.16, sa.3, ss.593-604, 2018 (Hakemli Dergi)

46. Construction of prediction intervals for Palmer Drought Severity Index using bootstrap

Beyaztas U., Arikan B. B., Beyaztas B. H., Kahya E.
JOURNAL OF HYDROLOGY , cilt.559, ss.461-470, 2018 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

47. Iterated bootstrap procedure in individual bioequivalence

BEYAZTAŞ U.
Communications Series A1: Mathematics and Statistics , cilt.68, sa.1, ss.583-594, 2018 (ESCI) identifier

48. New and Fast Block Bootstrap-Based Prediction Intervals for GARCH(1,1) Process with Application to Exchange Rates

BEYAZTAŞ B. H., BEYAZTAŞ U., Bandyopadhyay S., Huang W. M.
Sankhya A , cilt.80, sa.1, ss.168-194, 2018 (Scopus) identifier

49. Sufficient m-out-of-n (m/n) bootstrap

Alin A., Martin M. A., Beyaztas U., Pathak P. K.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION , cilt.87, sa.9, ss.1742-1753, 2017 (SCI-Expanded) identifier identifier

50. New block bootstrap methods: Sufficient and/or ordered

Beyaztas B. H., Firuzan E., Beyaztas U.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.46, sa.5, ss.3942-3951, 2017 (SCI-Expanded) identifier identifier

51. Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models

Beyaztas U., Alin A.
STATISTICAL PAPERS , cilt.55, sa.4, ss.1001-1018, 2014 (SCI-Expanded) identifier identifier

52. Delete-2 Jackknife-After-Bootstrap in Regression

Beyaztas U., Alin A.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , cilt.30, sa.7, ss.993-1002, 2014 (SCI-Expanded) identifier identifier

53. Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Beyaztas U., Alin A.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.43, sa.9, ss.2047-2060, 2014 (SCI-Expanded) identifier identifier

54. Robust BCa-JaB method as a diagnostic tool for linear regression models

Beyaztas U., Alin A., Martin M. A.
JOURNAL OF APPLIED STATISTICS , cilt.41, sa.7, ss.1593-1610, 2014 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

55. Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models

Beyaztas U., Alin A.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.42, sa.6, ss.1256-1267, 2013 (SCI-Expanded) identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 35

1. Random Effect Functional Cox Regression Model

İnan D., Beyaztaş U., Tekwe C., Chen X., Zoh R.
International Conference on Advances in Statistics, Bologna, İtalya, 25 - 27 Nisan 2025, ss.1, (Özet Bildiri)

2. Spatial Autoregressive Quantile Regression for Scalar-on-Function Mode

Mutiş M., Beyaztaş U., Karaman F., Shang H. L.
International Conference on Advances in Statistics, Bologna, İtalya, 25 - 27 Nisan 2025, ss.3, (Özet Bildiri)

3. A Deep Learning Approach to Spatial Functional Regression with Mixed

Başaran M., Beyaztaş U.
International Conference on Advances in Statistics, Bologna, İtalya, 25 - 27 Nisan 2025, ss.2, (Özet Bildiri)

4. Enhancing spatial functional linear regression with robust dimension reduction methods

Beyaztaş U.
8th International Researchers, Statisticians and Young Statisticians Congress, Adana, Türkiye, 28 - 30 Kasım 2024, ss.1, (Özet Bildiri)

5. On Function-on-function Partial Quantile Regression

Mutiş M., Beyaztaş U., Karaman F., Shang H. L.
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.33, (Özet Bildiri)

6. Robust Function-On-Function Regression: A Penalized Tau-Based Estimation Approach

Beyaztaş U.
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.72, (Özet Bildiri)

7. Locally Sparse And Robust Partial Least Squares In Scalar-on-function Regression

Gürer S., Shang H. L., Mandal A., Beyaztaş U.
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.68, (Özet Bildiri)

8. Skaler-fonksiyon lojistik regresyon modelinin tahmini için dirençli bir kestirim yöntemi

Aktürk B., Beyaztaş U.
IRSYSC2023, İstanbul, Türkiye, 2 - 05 Kasım 2023, ss.107, (Özet Bildiri)

9. An overview of multivariate adaptive regression splines

Mutiş M., Beyaztaş U., Karaman F.
IRSYSC2023, İstanbul, Türkiye, 2 - 05 Kasım 2023, ss.17-18, (Özet Bildiri)

10. Robust functional quantile regression

Beyaztaş U., Tez M., Shang H. L.
CFE-CMStatistics 2022, London, İngiltere, 17 - 19 Aralık 2022, ss.66, (Özet Bildiri)

11. Functional capital asset pricing model

Beyaztaş U., Ji K., Shang H. L., Wu E.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.21, (Özet Bildiri)

12. Machine learning-based functional time series forecasting: Application to age-specific mortality rates

Beyaztaş U., Shang H. L.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.28, (Özet Bildiri)

13. A robust scalar-on-function partial quantile regression

Tez M., Beyaztaş U., Shang H. L.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.71, (Özet Bildiri)

14. On partial least squares estimation in functional regression models

SARIÇAM S., BEYAZTAŞ U., AŞIKGİL B., Shang H. L.
LinStat'2020, Polonya, 30 Ağustos - 03 Eylül 2021, (Özet Bildiri)

15. On partial least squares estimation in functional regression models

Sarıçam S., Beyaztaş U., Aşıkgil B., Shang H. L.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.92, (Özet Bildiri)

16. A robust functional logistic regression method for classication

Mutiş M., Beyaztaş U., Gölbaşı Şimşek G., Shang H. L.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.83, (Özet Bildiri)

17. Robust function-on-function interaction regression

Beyaztaş U., Shang H. L., Mandal A.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.52, (Özet Bildiri)

18. Change Point Detection in ARMA(p,q) Process and Application onHeadway Data

Hacıoğlu A., Alın A., Beyaztaş U.
International Statistics Congress 2019, Muğla, Türkiye, 04 Ekim 2019, ss.732-743, (Tam Metin Bildiri)

19. On function-on-function regression: Partial least squares approach

Beyaztaş U.
Young Business and Industrial Statisticians Workshop on Recent Advances in Data Science and Business Analytics, İstanbul, Türkiye, 15 Eylül 2019, ss.1, (Özet Bildiri)

20. A case-resampling-based bootstrap method for function-on-function regression

Beyaztaş U.
International Conference on Computational Methods in Applied Sciences, İstanbul, Türkiye, 15 - 20 Temmuz 2019, ss.1, (Özet Bildiri)

21. Iterated Bootstrap Procedure in Individual Bioequivalence

Beyaztaş U.
International Conference on Applied Analysis and Mathematical Modeling, İstanbul, Türkiye, 14 Haziran 2018, ss.1, (Özet Bildiri)

22. Change point detection in vehicle time headways

Alın A., Hacıoğlu A., Tanyel S., Beyaztaş U.
4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 22 Nisan 2018, ss.1, (Özet Bildiri)

23. Stationary bootstrap based multi-step forecasts for unrestricted VAR models

Beyaztaş U.
4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 22 Nisan 2018, ss.1, (Özet Bildiri)

24. Construction of Prediction Intervals for Palmer Drought Severity Index Using Bootstrap

Beyaztaş U.
8th Atmospheric Sciences Symposium, İstanbul, Türkiye, 01 Kasım 2017, ss.540-543, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

25. On Jackknife-after-Bootstrap Method for Dependent Data

Beyaztaş U.
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1, (Özet Bildiri)

26. On Bootstrapping in Individual Bioequivalence

Beyaztaş U.
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1, (Özet Bildiri)

27. Sufficient m-out-of-n (m/n) Bootstrap

Beyaztaş U.
The International Conference on Trends and Perspectives in Linear Statistical Inference, İstanbul, Türkiye, 15 Ağustos 2016, ss.1, (Özet Bildiri)

28. A New and Fast Block Bootstrap Based Prediction Intervals for GARCH Processes with Application to Exchange Rates

Beyaztaş U.
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1, (Özet Bildiri)

29. A Weighted Likelihood Ratio Test for Change Point Analysis in Time Series

Beyaztaş U.
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1, (Özet Bildiri)

30. Robust Change Point Regression

Beyaztaş U.
International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications, Nevşehir, Türkiye, 15 Mayıs 2016, ss.1, (Özet Bildiri)

31. Some Notes on Sufficient Bootstrapping

Beyaztaş U.
The International Conference on Trends and Perspectives in Linear Statistical Inference, Linköping, İsveç, 15 Ağustos 2015, ss.1, (Özet Bildiri)

32. BCa–JaB Method as a Diagnostic Tool for Linear Regression Models

Beyaztaş U.
18th European Young Statisticians Meetings, Osijek, Hırvatistan, 15 Ağustos 2013, ss.1, (Özet Bildiri)

33. Sufficient Jackknife after Bootstrap Method for Detection of Influential Observations in Linear Regression Models

Beyaztaş U.
8th International Symposium of Statistics, Eskişehir, Türkiye, 11 Ekim 2012, ss.77-79, (Tam Metin Bildiri)

34. Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Beyaztaş U.
The International Conference on Trends and Perspectives in Linear Statistical Inference, Poznan, Polonya, 15 Temmuz 2012, ss.1, (Özet Bildiri)

35. Jackknife after bootstrap method for detection of ınfluential observations in linear regression models

Beyaztaş U.
New Developments in Theory and Applications of Statistics, Ankara, Türkiye, 02 Mayıs 2011, ss.158-167, (Tam Metin Bildiri)
Metrikler

Yayın

90

Yayın (WoS)

50

Yayın (Scopus)

48

Atıf (WoS)

279

H-İndeks (WoS)

4

Atıf (Scopus)

611

H-İndeks (Scopus)

13

Atıf (Scholar)

741

H-İndeks (Scholar)

14

Atıf (Sobiad)

11

H-İndeks (Sobiad)

1

Proje

2

Tez Danışmanlığı

5

Açık Erişim

9
BM Sürdürülebilir Kalkınma Amaçları