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Health opportunity inequality in middle-aged and older adult cardiovascular and cerebrovascular patients. [PDF]

Front Public Health
Hu G, Zhao H, Yu Z, Liu X.
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Minimax estimation in regression and random censorship models

, 2000
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Random Regression Coefficient Models

2020
This chapter describes a modification of the nested error regression model having random regression coefficients. We can intuitively expect that the slope parameters of some explanatory variable are not constant and therefore they should take different values in different domains.
Domingo Morales, María Dolores Esteban, Agustín Pérez, Tomáš Hobza   +3 more
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-optimal designs in random coefficient regression models

Statistics & Probability Letters, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Xin, Yue, Rong-Xian, Chatterjee, Kashinath   +2 more
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Random weightingT-statistics in linear regression models

Acta Mathematica Sinica, 1995
Summary: We have constructed a random weighting statistic to approximate the distribution of the Studentized least square estimator in a linear regresion model with ideal accuracy \(o(n^{- 1/2})\). Thus, we have provided a more practical distribution approximation method.
Shi, Jian, Zheng, Zhongguo
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