On the Sampling Size for Inverse Sampling
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- Masayuki Henmi & Ryo Yoshida & Shinto Eguchi, 2007. "Importance Sampling Via the Estimated Sampler," Biometrika, Biometrika Trust, vol. 94(4), pages 985-991.
- Khyati Ahlawat & Anuradha Chug & Amit Prakash Singh, 2019. "Benchmarking framework for class imbalance problem using novel sampling approach for big data," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 824-835, August.
- Jae Kwang Kim & Zhonglei Wang, 2019. "Sampling Techniques for Big Data Analysis," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 177-191, May.
- Vincenzo G. Genova & Michele Tumminello & Fabio Aiello & Massimo Attanasio, 2021. "A network analysis of student mobility patterns from high school to master’s," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1445-1464, December.
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Keywords
big data; sampling statistics; inverse sampling;All these keywords.
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