Analyzing wind power data using analysis of means under neutrosophic statistics

Aslam, Muhammad

doi:10.1007/s00500-021-05661-0

Cited by 16 publications

(8 citation statements)

References 51 publications

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“…The proposed IA performance analysis method can act as a guidance to determine the optimal feedback overhead in practical channel conditions. In the future, we may extend the analysis results by combining neutrosophic statistics in several directions, such as considering a more complicated neutrosophic Rayleigh model in the wireless channel [32], and reducing the approximation error by analyzing the distribution characteristics of different kinds of quantization errors [33][34][35].…”

Section: Discussionmentioning

confidence: 99%

Closed-Form Sum-Rate Analysis of Interference Alignment with Limited Feedback Based on Scalar Quantization and Random Vector Quantization

Suo

Liu

2022

Applied Sciences

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Interference alignment (IA) is a promising interference management technique to achieve the theoretical optimal degree of freedom (DoF) performance in multi-user cooperation scenarios. However, the effective achievable sum-rate performance of IA is largely affected by the feedback overhead and accuracy of channel state information (CSI) and decoding information (DI). Therefore, it is critical to establish the exact relationship between feedback overhead and the achievable sum-rate of IA to obtain the optimal effective performance. Most existing IA performance analysis approaches focus on the vector quantization (VQ)-based feedback strategy, but the implementation complexity of VQ will be excessive when more quantization bits are required to achieve the expected quantization accuracy for larger-sized matrices or higher signal-to-noise ratio (SNR) regimes. Moreover, the obtained achievable sum-rate formulas are too complicated for quick performance evaluation. In this paper, a new sum-rate performance analysis method for IA under different quantization and feedback strategies is proposed to achieve a trade-off between accuracy and complexity, and the closed-form achievable sum-rate expressions are derived. First, in the IA case with random vector quantization (RVQ)-based CSI feedback, the quantization error of RVQ is transformed into the equivalent VQ error of the Gaussian channel error, based on which the achievable sum-rate formula is obtained. Second, in the IA case with scalar quantization (SQ)-based CSI feedback, the relationship between the effective sum-rate and SQ bits is established. Third, in the IA case with SQ-based CSI feedback and RVQ-based DI feedback, the achievable sum-rate formula is derived by combining these two kinds of quantization errors. Finally, the simulation results confirm that the theoretical results are accurate enough, which can help to determine the optimal CSI feedback overhead in practical channel conditions. Moreover, the theoretical and simulation results demonstrate that RVQ may be more applicable to IA scenarios with fewer receiving antennas and low SNR regimes.

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Section: Discussionmentioning

confidence: 99%

Closed-Form Sum-Rate Analysis of Interference Alignment with Limited Feedback Based on Scalar Quantization and Random Vector Quantization

Suo

Liu

2022

Applied Sciences

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“…Fourth, the case presentation method proposed cannot meet the legal instrument description requirements, so it is necessary to study case presentation based on ontology and the method of extraction of similar case sets. Fifth, considering neutrosophic statistics have some advantages in dealing with vague, indecisive, or fuzzy sample data [43][44][45], we will apply neutrosophic statistics to the hidden property analysis problem.…”

Section: Discussionmentioning

confidence: 99%

Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

Zhang

Zhou

et al. 2021

Mathematics

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Many judgment debtors try to evade, confront, and delay law enforcement using concealing and transferring their property to resist law enforcement in China. The act of hiding property seriously affects people’s legitimate rights and interests and China’s legal authority. Therefore, it is essential to find an effective method of analyzing whether a judgment debtor hides property. Aiming at the hidden property analysis problem, we propose a case-based reasoning method for the judgment debtor’s hidden property analysis. In the hidden property analysis process, we present the attributes of the enforcement case by crisp symbols, crisp numbers, interval numbers, and fuzzy linguistic variables and develop a hybrid similarity measure between the historical enforcement case and the target enforcement case. The results show that the recommendations obtained with the information and knowledge of similar historical cases are consistent with judicial practice, which can reduce the work pressure of law enforcement officers and improve the efficiency of handling enforcement cases.

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“…Neutrosophic Statistics can be used when there is indeterminacy in the measurement. Some works that show this approach when the measurement to be studied has indeterminacy are Aslam and Albassam (2021) and Aslam (2021). The Neutrosophic statistics tend to the classical statistics if all the observations are clear, certain, complete or determined (Almarashi and Aslam, 2021).…”

Section: Limitations and Future Workmentioning

confidence: 99%

A control chart based on Pearson residuals for a negative binomial regression: application to infant mortality data

García-Bustos

Cárdenas-Escobar

Debón

et al. 2021

IJQRM

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PurposeThe study aims to design a control chart based on an exponentially weighted moving average (EWMA) chart of Pearson's residuals of a model of negative binomial regression in order to detect possible anomalies in mortality data.Design/methodology/approachIn order to evaluate the performance of the proposed chart, the authors have considered official historical records of death of children of Ecuador. A negative binomial regression model was fitted to the data, and a chart of the Pearson residuals was designed. The parameters of the chart were obtained by simulation, as well as the performances of the charts related to changes in the mean of death.FindingsWhen the chart was plotted, outliers were detected in the deaths of children in the years 1990–1995, 2001–2006, 2013–2015, which could show that there are underreporting or an excessive growth in mortality. In the analysis of performances, the value of λ = 0.05 presented the fastest detection of changes in the mean death.Originality/valueThe proposed charts present better performances in relation to EWMA charts for deviance residuals, with a remarkable advantage of the Pearson residuals, which are much easier to interpret and calculate. Finally, the authors would like to point out that although this paper only applies control charts to Ecuadorian infant mortality, the methodology can be used to calculate mortality in any geographical area or to detect outbreaks of infectious diseases.

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Analyzing wind power data using analysis of means under neutrosophic statistics

Cited by 16 publications

References 51 publications

Closed-Form Sum-Rate Analysis of Interference Alignment with Limited Feedback Based on Scalar Quantization and Random Vector Quantization

Closed-Form Sum-Rate Analysis of Interference Alignment with Limited Feedback Based on Scalar Quantization and Random Vector Quantization

Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

A control chart based on Pearson residuals for a negative binomial regression: application to infant mortality data

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