Time series analysis and forecasting of cholera disease using discrete wavelet transform and seasonal autoregressive integrated moving average model

Amshi, Ahmad Hauwa; Prasad, Rajesh

doi:10.1016/j.sciaf.2023.e01652

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…In both cases, these are stochastic linear programming problems with probabilistic equality constraints [ 34 , 35 ]. Having implemented in an analytical form the standard approach to solving such problems (see the authors' previous work on this topic [ 33 ]) we obtained optimal probability density functions classified as continuous differential functions, namely:

where

;

are the Lagrange multipliers, and

corresponds to constraint [ 28 ], and

are correspond to constraints [ 27 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…This can happen when the impact of individual instances on the quality metric is comparable to the combined impact of all other instances (this is typical for unbalanced classes or strong outliers). In cases where it is obvious that the IID hypothesis is limited, other approaches are used [ [24] , [25] , [26] , [27] , [28] , [29] ]: Markov chains, autoregressive models, stochastic decision trees, etc. However, there are borderline cases where it is not clear whether IID training can be applied or not.…”

Section: Introductionmentioning

confidence: 99%

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