Analysis of Big Data Using GLM

Md. Rezaul Karim () and M. Ataharul Islam ()
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Md. Rezaul Karim: University of Rajshahi, Department of Statistics
M. Ataharul Islam: University of Dhaka, Institute of Statistical Research and Training

Chapter Chapter 12 in Reliability and Survival Analysis, 2019, pp 219-237 from Springer

Abstract: Abstract The application of the generalized linear models to big data is discussed in this chapter using the divide and recombine (D&R) framework. In this chapter, the exponential family of distributions for binary, count, normal, and multinomial outcome variables and the corresponding sufficient statistics for parameters are shown to have great potential in analyzing big data where traditional statistical methods cannot be used for the entire data set.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-9776-9_12

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DOI: 10.1007/978-981-13-9776-9_12

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