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Ruppert, David - In: Journal of the American Statistical Association 100 (2005) December, pp. 1161-1163

Persistent link: https://www.econbiz.de/10005532678

Bayesian Models for Multiple Outcomes in Domains With Application to the Seychelles Child Development Study

Xiao, Luo; Thurston, Sally W.; Ruppert, David; Love, … - In: Journal of the American Statistical Association 109 (2014) 505, pp. 1-10

The Seychelles Child Development Study (SCDS) examines the effects of prenatal exposure to methylmercury on the functioning of the central nervous system. The SCDS data include 20 outcomes measured on 9-year-old children that can be classified broadly in four outcome classes or "domains":...

Persistent link: https://www.econbiz.de/10010824017

Nonlinear and Nonparametric Regression and Instrumental Variables

Carroll, Raymond J.; Ruppert, David; Crainiceanu, Ciprian M. - In: Journal of the American Statistical Association 99 (2004) 1, pp. 736-750

Persistent link: https://www.econbiz.de/10005734091

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Ruppert, David - In: Journal of the American Statistical Association 102 (2007) June, pp. 409-411

Persistent link: https://www.econbiz.de/10005734188

Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model

Jarrow, Robert; Ruppert, David; Yu, Yan - In: Journal of the American Statistical Association 99 (2004) 1, pp. 57-66

Persistent link: https://www.econbiz.de/10005238799

Density Estimation in the Presence of Heteroscedastic Measurement Error

Staudenmayer, John; Ruppert, David; Buonaccorsi, John P. - In: Journal of the American Statistical Association 103 (2008) June, pp. 726-736

Persistent link: https://www.econbiz.de/10005238855