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Advanced Search Results For "DATA distribution"

1 - 10 of 145,577 results for
 "DATA distribution"
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Flexible Clustered Federated Learning for Client-Level Data Distribution Shift.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Parallel & Distributed Systems. No2022, Vol. 33 Issue 11, p2661-2674. 14p.

Abstract: Federated Learning (FL) enables the multiple participating devices to collaboratively contribute to a global neural network model while keeping the training data locally. Unlike the centralized training setting, the non-IID, imbalanced (statistical het...

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A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating.

Publication Type: Academic Journal

Source(s): Journal of Business & Economic Statistics. Oct2022, Vol. 40 Issue 4, p1691-1700. 10p.

Abstract: Quantile regression is a method of fundamental importance. How to efficiently conduct quantile regression for a large dataset on a distributed system is of great importance. We show that the popularly used one-shot estimation is statistically inefficie...

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A failure assessment method of island distribution lines based on model‐data hybrid drive.

Publication Type: Academic Journal

Source(s): IET Generation, Transmission & Distribution (Wiley-Blackwell). Dec2022, Vol. 16 Issue 23, p4867-4877. 11p.

Abstract: Open circuit faults of island distribution lines account for more than 70% of the total number of faults in the distribution network. Failure assessment of lines plays a crucial role in the operational safety of the island distribution network. Aiming ...

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A practical, effective calculation of gamma difference distributions with open data science tools.

Publication Type: Academic Journal

Source(s): Journal of Statistical Computation & Simulation. Jul2022, Vol. 92 Issue 11, p2205-2232. 28p.

Abstract: At present, there is still no officially accepted and extensively verified implementation of computing the gamma difference distribution allowing unequal shape parameters. We explore four computational ways of the gamma difference distribution with dif...

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Several two-component mixture distributions for count data.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 7, p3760-3771. 12p.

Abstract: Finite mixture model is a flexible approach for modeling multimodal data. Multimodality can be present in the data when the data constitute several subpopulations. In this study, several two-component mixture distributions for count data are proposed a...

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Confidence intervals with maximal average power.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Theory & Methods. 2022, Vol. 51 Issue 14, p4940-4956. 17p.

Abstract: We propose a frequentist testing procedure that maintains a defined coverage and is optimal in the sense that it gives maximal power to detect deviations from a null hypothesis when the alternative to the null hypothesis is sampled from a pre-specified...

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Selecting from among 12 alternative distributions of financial data.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 7, p3943-3954. 12p.

Authors:

Abstract: The special and limiting cases of skewed generalized t distribution developed by Theodossiou (1998) include 11 alternative distributions. This study proposes likelihood ratio tests to select the best distribution from among 12 alternatives. The efficac...

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Reliable detection of compressed and encrypted data.

Publication Type: Academic Journal

Source(s): Neural Computing & Applications. Nov2022, Vol. 34 Issue 22, p20379-20393. 15p.

Abstract: Several cybersecurity domains, such as ransomware detection, forensics and data analysis, require methods to reliably identify encrypted data fragments. Typically, current approaches employ statistics derived from byte-level distribution, such as entro...

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Estimation and Testing on Independent Not Identically Distributed Observations Based on Rényi’s Pseudodistances.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Information Theory. Jul2022, Vol. 68 Issue 7, p4588-4609. 22p.

Abstract: In real life we often deal with independent but not identically distributed observations (i.n.i.d.o), for which the most well-known statistical model is the multiple linear regression model (MLRM) with non-random covariates. While the classical methods...

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Here be dragons: important spatial uncertainty driven by climate data in forecasted distribution of an endangered insular reptile.

Publication Type: Academic Journal

Source(s): Animal Conservation. Oct2022, Vol. 25 Issue 5, p704-717. 14p.

Abstract: The effect of future climate change is poorly studied in the tropics, especially in mountainous areas, yet species living in these environments are predicted to be strongly affected. Newly available high‐resolution environmental data and statistical me...

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