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Analysis of Big Data Using GLM

In: Reliability and Survival Analysis

Author

Listed:
  • Md. Rezaul Karim

    (University of Rajshahi, Department of Statistics)

  • M. Ataharul Islam

    (University of Dhaka, Institute of Statistical Research and Training)

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.

Suggested Citation

  • Md. Rezaul Karim & M. Ataharul Islam, 2019. "Analysis of Big Data Using GLM," Springer Books, in: Reliability and Survival Analysis, chapter 0, pages 219-237, Springer.
    • Handle: RePEc:spr:sprchp:978-981-13-9776-9_12
    DOI: 10.1007/978-981-13-9776-9_12
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