Error analysis for hybrid estimates of proportions using big data1

Error analysis for hybrid estimates of proportions using big data

The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates.

Error analysis for hybrid estimates of proportions using big data

Third, when the big data is subject to measurement errors, instead of using the erroneous big data as benchmarks as in [4] for the hybrid estimate, we use a ...

Error analysis for hybrid estimates of proportions using big data1

Request PDF | Error analysis for hybrid estimates of proportions using big data1 | Big data, including administrative data, is seen as a new data source for ...

Error analysis for hybrid estimates of proportions using big data1

This page is a summary of: Error analysis for hybrid estimates of proportions using big data1 , Statistical Journal of the IAOS, June 2022, IOS Press, DOI: ...

[PDF] Error analysis for hybrid estimates of proportions using big ...

“Error analysis for hybrid estimates of proportions using big data1” is a paper by S. M. Tam Dennis Trewin Lyndon Ang published in 2022. It has an Open Access ...

Error analysis for hybrid estimates of proportions using big data

The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates. The paper also describes the circumstances under which ...

Error Analysis for Hybrid Estimates that use Big Data - ISI

The paper provides an Error Framework for the analysis of errors in big data, from both an input and output perspective. The paper also describes hybrid ...

Total Error in a Big Data World: Adapting the TSE Framework to Big ...

45 Citations · Error analysis for hybrid estimates of proportions using big data1 · Quality framework for combining survey, administrative and big ...

Total Error in a Big Data World: Adapting the TSE Framework to Big ...

... Error for Big Data [2] . We have chosen to adapt the work of [3]. ... Error analysis for hybrid estimates of proportions using big data1.

Siu-Ming Tam – Kudos: Growing the influence of research

Error analysis for hybrid estimates of proportions using big data1. Article • Statistical Journal of the IAOS, June 2022, IOS Press. Siu-Ming Tam. On a ...

[PDF] Extending TSE to Administrative Data: A Quality Framework ...

Error analysis for hybrid estimates of proportions using big data1 · S ... analysis of errors in big data and hybrid estimates is ...

Confidence Intervals for Error Rates in 1:1 Matching Tasks

mentioned in (M2) arises in the analysis of data ... design of the protocols for the estimation of error rates and the associated uncertainty levels on large.

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Therefore, it is possible to search for and locate a significant proportion of the published material in the BD and BDA area. •. Condition II – To focus on ...

Dennis Trewin - Australian Bur Stat, Canberra, ACT, Australia | 人才 ...

Journal of the Royal Statistical Society Series A Statistics in Societyno. 4 (2022): ... Error analysis for hybrid estimates of proportions using big data1.

Statistical Error Estimation Methods for Engineering

Naturally, scale-resolving simulations (SRS), such as direct numerical simulation (DNS) or large eddy simulation (LES), which spatially and temporally resolve ...

Extending TSE to Administrative Data: A Quality Framework and ...

... data set assessment, and 3) an estimation and output assessment. We ... Error analysis for hybrid estimates of proportions using big data1. Siu-Ming ...

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Here, the multi-linear regression (orange) already captures a large part of the variability found in the hybrid mapping (blue). This ...

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Robson The Estimation of Mixing Proportions by Double Sample Using ... Hermans Selection of Variables in Discriminant Analysis by $F$-Statistic ...

Dennis Trewin | Scholar Profiles and Rankings | ScholarGPS

Error analysis for hybrid estimates of proportions using big data1 (journal article). Tam, Siu-Ming | Trewin, Dennis | Ang, Lyndon. Statistical Journal of the ...

Worked Examples for Approximating Standard Errors Using ...

2. There are either no sample observations available to compute an estimate or standard error of a median, an aggregate, a proportion, or some other ratio ...