The distribution of COVID-19 mortality

Campolieti, Michele; Ramos, Arturo

doi:10.1016/j.idm.2022.11.003

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…A very common accuracy measurement functions are used to assess the performance of each model described below, these performance functions are: Akaike's Information Criterion (AIC), mean absolute percentage error (MAPE), coefficient of determination (R 2 ) and Ljung-Box test ( (Alzahrani et al, 2020;Campolieti and Ramos, 2022;Fisher, 2011;Milad M. A. H., 2020).…”

Section: Figure-1 Time Series Of Malaysian Importsmentioning

confidence: 99%

Untitled

2024

IJEFR

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For more than a century, forecasting models have been crucial in a variety of fields. Models can offer the most accurate forecasting outcomes if error terms are normally distributed. Finding out a good statistical model for time series predicting imports in Malaysia is the main target of this study. The decision made during this study mostly addresses Vector Error Correction Method (VECM), composite model (Combined regression-ARIMA), and ARIMA model. The imports of Malaysia from the first quarter of 1991 to the first quarter of 2023 are employed in this study's quarterly time series data. The forecasting outcomes of the current study demonstrated that the composite model offered more probabilistic data, which improved forecasting the volume of Malaysia's imports. The (ARIMA) mode, composite model, and VECM model in this study are linear models based on responses to Malaysia's imports. Future studies might compare the performance of nonlinear and linear models in forecasting.

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Section: Figure-1 Time Series Of Malaysian Importsmentioning

confidence: 99%

Untitled

2024

IJEFR

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Section: Figure-1 Time Series Of Malaysian Importsmentioning

confidence: 99%

Composite Model Analysis in Forecasting the Malaysian Imports

AH Milad,

Moh. B. Duzan

2024

IJEFR

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For more than a century, forecasting models have been crucial in a variety of fields. Models can offer the most accurate forecasting outcomes if error terms are normally distributed. Finding out a good statistical model for time series predicting imports in Malaysia is the main target of this study. The decision made during this study mostly addresses Vector Error Correction Method (VECM), composite model (Combined regression-ARIMA), and ARIMA model. The imports of Malaysia from the first quarter of 1991 to the first quarter of 2023 are employed in this study’s quarterly time series data. The forecasting outcomes of the current study demonstrated that the composite model offered more probabilistic data, which improved forecasting the volume of Malaysia’s imports. The (ARIMA) mode, composite model, and VECM model in this study are linear models based on responses to Malaysia’s imports. Future studies might compare the performance of nonlinear and linear models in forecasting.

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A new distributional approach: estimation, Monte Carlo simulation and applications to the biomedical data sets

Kamal,

Alsolmi,

Nayabuddin

et al. 2023

NHM

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<abstract><p>This paper introduces the generalized exponential-$ U $ family of distributions as a novel methodological approach to enhance the distributional flexibility of existing classical and modified distributions. The new family is derived by combining the T-$ X $ family method with the exponential model. The paper presents the generalized exponential-Weibull model, an updated version of the Weibull model. Estimators and heavy-tailed characteristics of the proposed method are derived. The new model is applied to three healthcare data sets, including COVID-19 patient survival times and mortality rate data set from Mexico and Holland. The proposed model outperforms other models in terms of analyzing healthcare data sets by evaluating the best model selection measures. The findings suggest that the proposed model holds promise for broader utilization in the area of predicting and modeling healthcare phenomena.</p></abstract>

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The distribution of COVID-19 mortality

Cited by 3 publications

References 43 publications

Untitled

Untitled

Composite Model Analysis in Forecasting the Malaysian Imports

A new distributional approach: estimation, Monte Carlo simulation and applications to the biomedical data sets

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