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- W2945336478 abstract "This chapter introduces the basic terminologies and main themes of the book. We first illustrate the issues of double-truncation through real examples arising from economics, medicine and engineering. After discussing the issues of sampling bias due to double-truncation, we briefly review likelihood-based inference methods for doubly truncated data. We finally compare double-truncation with interval/right censoring." @default.
- W2945336478 created "2019-05-29" @default.
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- W2945336478 date "2019-01-01" @default.
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- W2945336478 title "Introduction to Double-Truncation" @default.
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- W2945336478 doi "https://doi.org/10.1007/978-981-13-6241-5_1" @default.
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