COHERENT FORECASTING IN INTEGER-VALUED AR(1) MODELS WITH GEOMETRIC MARGINALS M Awale, TV Ramanathan, M Kale Journal of Data science 15 (1), 2017 | 14 | 2017 |
Testing the constancy of the thinning parameter in a random coefficient integer autoregressive model M Awale, N Balakrishna, TV Ramanathan Statistical Papers, 1-25, 2017 | 13 | 2017 |
Impact of transport sector emissions on biochemical characteristics of plants and mitigation strategy in Pune, India P Kamble, PS Bodhane, G Beig, M Awale, U Mukkannawar, AV Mane, ... Environmental Challenges 4, 100081, 2021 | 11 | 2021 |
Analysis of seasonal variation in surface water quality and water quality index (WQI) of Amba River from Dolvi Region, Maharashtra, India PK Ravindra Jaybhaye, Pramod Nandusekar, Manik Awale, Dipen Paul, Uday ... Arabian Journal of Geosciences 15 (14), 1-14, 2022 | 4* | 2022 |
Forecasting overdispersed INAR (1) count time series with negative binomial marginal M Awale, AS Kashikar, TV Ramanathan Communications in Statistics-Simulation and Computation 52 (6), 2497-2517, 2023 | 2 | 2023 |
Modeling seasonal epidemic data using integer autoregressive model based on binomial thinning M Awale, AS Kashikar, TV Ramanathan Model Assisted Statistics and Applications 15 (1), 1-17, 2020 | 2 | 2020 |
Optimization of fungal chitosan production from Cunninghamella echinulata using statistical designs BM Karamchandani, PA Maurya, M Awale, SG Dalvi, IM Banat, ... 3 Biotech 14 (3), 1-15, 2024 | | 2024 |
Some developments on seasonal INAR processes with application to influenza data FE Almuhayfith, EW Okereke, M Awale, HS Bakouch, HN Alqifari Scientific Reports 13 (1), 22037, 2023 | | 2023 |
A random coefficient integer autoregressive model of order one with seasonal structure (RCINAR (1) s) M Awale, AS Kashikar Model Assisted Statistics and Applications 18 (1), 1-12, 2023 | | 2023 |
Environmental Challenges P Kamble, PS Bodhane, G Beig, M Awale, U Mukkannawar, AV Mane, ... | | |
CPS02 MS Awale, CY Hsu, CH Chen, KF Cheng egional S, 77, 0 | | |
Modeling Seasonality in Epidemic Surveillance Data Using Count Time Series Models M Awale | | |