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• W2891621616 abstract "We consider linear regression where the dependent variable is unobservable. Instead we can observe only an upper and lower bound. In this setup, the regression parameters need not be consistently estimable. We make certain stochastic assumptions, as weak as possible, on the random process generating the observable intervals and derive tight bounds for the regression parameters. The bounds are consistently estimable and the estimators are functions of the observable quantities only. We also restate the result in terms of set-estimators for regression models with interval-valued data." @default.
• W2891621616 created "2018-09-27" @default.
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• W2891621616 date "2018-01-01" @default.
• W2891621616 modified "2023-10-18" @default.
• W2891621616 title "A Note on Partial Identification of Regression Parameters in Regression with Interval-Valued Dependent Variable" @default.
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• W2891621616 doi "https://doi.org/10.1007/978-3-030-00350-0_5" @default.
• W2891621616 hasPublicationYear "2018" @default.
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