( en | de | ru )

 

Disambiguation of "Paul, Ranjit Kumar"

Author of the publication

copydeleteadd this publication to your clipboard
Study of growth pattern of cattle under different error structures.

, , , , , and . Model. Assist. Stat. Appl., 10 (2): 109-115 (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ranjit Kumar Thirumaran

Ranjit Bhardwaj

Ranjit Kumaresan

Ranjit Bhardwaj

Asit Kumar Paul

 

Other publications of authors with the same name

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data., , , , and . Remote. Sens., 14 (14): 3249 (2022)Hybrid time-series models for forecasting agricultural commodity prices., and . Model. Assist. Stat. Appl., 12 (3): 255-264 (2017)Functional coefficient autoregressive nonlinear time-series model for forecasting Indian lac export data., , and . Model. Assist. Stat. Appl., 5 (2): 101-108 (2010)CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization., , , and . Neural Process. Lett., 56 (2): 92 (April 2024)Comparative performance of wavelet-based neural network approaches., and . Neural Comput. Appl., 31 (8): 3443-3453 (2019)OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index., and . J. Supercomput., 80 (2): 1568-1597 (January 2024)Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence., and . Intell. Syst. Appl., (May 2023)ARIMAX-GARCH-WAVELET model for forecasting volatile data.. Model. Assist. Stat. Appl., 10 (3): 243-252 (2015)Performance comparison of wavelets-based machine learning technique for forecasting agricultural commodity prices., and . Soft Comput., 25 (20): 12857-12873 (2021)Monte Carlo simulation for comparison of different estimators of long memory parameter: An application of ARFIMA model for forecasting commodity price., , and . Model. Assist. Stat. Appl., 10 (2): 117-128 (2015)