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Faridoon Khan
Faridoon Khan
Pakistan Institute of Development Economics
Verified email at pide.edu.pk
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Cited by
Year
Nexus between trade, CO2 emissions, renewable energy, and health expenditure in Pakistan
I Ullah, A Rehman, FU Khan, MH Shah, F Khan
The International journal of health planning and management 35 (4), 818-831, 2020
762020
Frequency of complications In Beta thalassemia major in DI Khan
FU Khan
Biomedica 23 (6), 31-3, 2007
242007
Estimation of finite population mean using dual auxiliary variable for non-response using simple random sampling
S Ahmad, S Hussain, M Aamir, F Khan, MN Alshahrani, M Alqawba
Aims Mathematics 793, 4592-4613, 2022
172022
A comparative analysis of machine learning models: a case study in predicting chronic kidney disease
H Iftikhar, M Khan, Z Khan, F Khan, HM Alshanbari, Z Ahmad
Sustainability 15 (3), 2754, 2023
162023
On predictive modeling using a new flexible Weibull distribution and machine learning approach: Analyzing the COVID-19 data
Z Ahmad, Z Almaspoor, F Khan, M El-Morshedy
Mathematics 10 (11), 1792, 2022
162022
An application of hybrid models for weekly stock market index prediction: Empirical evidence from SAARC countries
Z Peng, FU Khan, F Khan, PA Shaikh, D Yonghong, I Ullah, F Ullah
Complexity 2021, 1-10, 2021
112021
A novel probabilistic approach based on trigonometric function: model, theory with practical applications
OH Odhah, HM Alshanbari, Z Ahmad, F Khan, AAAH El-Bagoury
Symmetry 15 (8), 1528, 2023
102023
On the implementation of the artificial neural network approach for forecasting different healthcare events
HM Alshanbari, H Iftikhar, F Khan, M Rind, Z Ahmad, AAAH El-Bagoury
Diagnostics 13 (7), 1310, 2023
102023
Comparison of weighted lag adaptive LASSO with Autometrics for covariate selection and forecasting using time-series data
S Muhammadullah, A Urooj, F Khan, MN Alshahrani, M Alqawba, ...
Complexity 2022, 1-10, 2022
102022
Revisiting the relationship between remittances and CO2 emissions by applying a novel dynamic simulated ARDL: empirical evidence from G-20 economies
FU Khan, A Rafique, E Ullah, F Khan
Environmental Science and Pollution Research 29 (47), 71190-71207, 2022
92022
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
Z Ahmad, Z Almaspoor, F Khan, SE Alhazmi, M El-Morshedy, ...
AIMS Math 7, 18031-18049, 2022
92022
Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine leaning techniques
RA Bantan, Z Ahmad, F Khan, M Elgarhy, Z Almaspoor, GG Hamedani, ...
Math. Biosci. Eng 20 (2), 2847-2873, 2023
62023
On the implementation of a new version of the Weibull distribution and machine learning approach to model the COVID-19 data
Y Zhou, Z Ahmad, Z Almaspoor, F Khan, E Tag-Eldin, Z Iqbal, ...
Mathematical biosciences and engineering: MBE 20 (1), 337-364, 2023
62023
A comparison of Autometrics and penalization techniques under various error distributions: evidence from Monte Carlo simulation
F Khan, A Urooj, K Ullah, B Alnssyan, Z Almaspoor
Complexity 2021, 1-8, 2021
62021
An ARIMA-ANN hybrid model for monthly gold price forecasting: empirical evidence from Pakistan
F Khan, A Urooj, S Muhammadullah
Pakistan Econ Rev 4 (1), 61-75, 2021
62021
Evaluating the performance of feature selection methods using huge big data: a Monte Carlo simulation approach
F Khan, A Urooj, SA Khan, SK Khosa, S Muhammadullah, Z Almaspoor
Mathematical Problems in Engineering 2022, 1-10, 2022
52022
Comparing the forecast performance of advanced statistical and machine learning techniques using huge big data: evidence from Monte Carlo experiments
F Khan, A Urooj, SA Khan, A Alsubie, Z Almaspoor, S Muhammadullah
Complexity 2021, 1-11, 2021
52021
A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applications
F Khan, Z Ahmad, SK Khosa, MA Alomair, AM Alomair, A khalid Alsharidi
Heliyon 9 (6), 2023
32023
Univariate and multivariate analyses of the asset returns using new statistical models and penalized regression techniques
HM Alshanbari, Z Ahmad, F Khan, SK Khosa, M Ilyas, A El-Bagoury
Aims Math 8, 19477-19503, 2023
32023
A new statistical distribution with applications to sports and health sciences
F Wang, Z Ahmad, F Khan, E Hussam, AAH El-Bagoury, HM Alshanbari
Alexandria Engineering Journal 61 (12), 9661-9671, 2022
32022
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