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Liquidity risk, credit risk and the overnight interest rate spread: a Stochastic Volatility modelling approach
Published 2011“…The determinants of this volatility are assessed using Stochastic Volatility models to gauge the role played by liquidity risk, credit risk (financial and sovereign), and interest rate expectations. …”
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Interval type-2 fuzzy gmc for nonlinear stochastic process of methane production in the anaerobic digester system
Published 2017“…Development of the deterministic methane process model has been extended to a set of stochastic nonlinear differential equations. The stochastic effect is introduced by adding white noise with unit covariance to give an interesting profile like physical plant dynamic. …”
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206
Two-Stage Robust-Stochastic Electricity Market Clearing Considering Mobile Energy Storage in Rail Transportation
Published 2020“…This paper proposes a two-stage robust-stochastic framework to evaluate the effect of the battery-based energy storage transport (BEST) system in a day-ahead market-clearing model. …”
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207
Time-varying stochastic frontier model approach for measuring female parliamentarian efficiency of selected countries in Asia
Published 2014“…A Cobb-Douglas stochastic frontier production function with time-varying technical inefficiency effects was estimated.Year wise mean technical efficiency of the parliament of eight Asian countries during the reference period decreased from 46.8-42.8%. …”
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208
Stochastic frontier approach and data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice
Published 2012“…The objective of this paper is to apply the Translog Stochastic Frontier production model (SFA) and Data Envelopment Analysis (DEA) to estimate efficiencies over time and the Total Factor Productivity (TFP) growth rate for Bangladeshi rice crops (Aus, Aman and Boro) throughout the most recent data available comprising the period 1989–2008. …”
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209
Implementing a vendor managed inventory policy in a two-stage supply chain with stochastic demands
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A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation
Published 2018“…This paper presents a data-driven PID control scheme based on Normalized Simultaneous Perturbation Stochastic Approximation (SPSA). Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. …”
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211
A data-driven PID controller for flexible joint manipulator using normalized simultaneous perturbation stochastic approximation
Published 2019“…This paper presents a data-driven PID controller based on Normalized Simultaneous Perturbation Stochastic Approximation (SPSA). Initially, an unstable convergence of conventional SPSA is illustrated, which motivate us to introduce its improved version. …”
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212
An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
Published 2023“…The iSSA is applied to OPF problems involving stochastic solar power generation, with the goal of optimizing control variables such as real power generation, voltage magnitude at generation buses, transformer tap settings, and reactive power compensation. …”
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Modelling cross-docking in a three-level supply chain with stochastic service and queuing system: MOWFA algorithm
Published 2022“…The arrival rate of goods from suppliers to the cross‐dock is stochastic with a general probability distribution. …”
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215
Performance of Eular-Maruyama, 2-stage SRK and 4-stage SRK in approximating the strong solution of stochastic model
Published 2010“…Stochastic differential equations play a prominent role in many application areas including finance, biology and epidemiology. …”
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216
Quality of Service Impact on Deficit Round Robin and Stochastic Fair Queuing Mechanism in Wired-cum-Wireless Network
Published 2018“…The deficient round robin (DRR) and stochastic fair queue (SFQ) are the active queue mechanism (AQM) techniques. …”
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Year over year efficiencies of Bank Negara Malaysia: Data envelopment analysis versus stochastic frontier analysis
Published 2016“…This paper examines Bank Negara Malaysia (BNM) twelve year to year efficiency levels by employing two competing frontier analyses namely Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA).The data covers a 12-year time periods from 2000 to 2012 except 2010, and five variables are considered where Net Profit (NP) and Loans & Advances (LA) are the outputs, while total assets, risk reserve and total deposit are the input variables.The results show that DEA gives the lowest average efficiency level at 0.936, while LA Stochastic Frontier model estimates the highest average year wise efficiency at 0.992, and the NP Stochastic Frontier model is the second highest (0.934).With all three efficiency averages of more than 0.9, BNM is at the positive phase to increase its outputs, which are NP and LA by using the same inputs.…”
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The Comparison between Standardized Mortality Ratio, Poisson-Gamma and Stochastic Sic Model for Pneumonia Disease Mapping in Malaysia
Published 2022“…In conclusion, this stochastic SIC model demonstrated better performance than the conventional models.…”
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Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer
Published 2021“…To assess the performance of BMO into OPF problem, modified IEEE 30-bus and IEEE 57-bus systems that incorporate the stochastic wind–solar–small hydro power generators will be employed. …”
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