Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches

This article develops an incremental learning algorithm based on quadratic inference function (QIF) to analyze streaming datasets with correlated outcomes such as longitudinal data and clustered data. We propose a renewable QIF (RenewQIF) method within a paradigm of renewable estimation and incremen...

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Vydáno v:	Journal of the American Statistical Association Ročník 118; číslo 543; s. 2029 - 2044
Hlavní autoři:	Luo, Lan, Zhou, Ling, Song, Peter X.-K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Taylor & Francis 03.07.2023 Taylor & Francis Ltd
Témata:	Abnormal data batch detection Algorithms Crashworthiness Data quality Data systems Datasets Estimation Generalized estimating equation Goodness of fit Homogeneity Impact strength Incremental statistical analysis Inference Learning Machine learning Medical diagnosis Medical screening Morality Online learning Parameter estimation Quadratic inference function Regression analysis Regression coefficients Sampling Simulation Spark computing platform Statistical analysis Statistical inference Statistical tests Statistics Traffic accidents Abnormal data batch detection Quadratic inference function Generalized estimating equation Incremental statistical analysis Online learning Spark computing platform
ISSN:	0162-1459, 1537-274X, 1537-274X
On-line přístup:	Získat plný text
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