| Year |
Citation |
Score |
| 2021 |
Cui E, Thompson EC, Carroll RJ, Ruppert D. A semiparametric risk score for physical activity. Statistics in Medicine. PMID 34806208 DOI: 10.1002/sim.9262 |
0.439 |
|
| 2021 |
Sun Z, Chen F, Liang H, Ruppert D. A projection-based consistent test incorporating dimension-reduction in partial linear models Statistica Sinica. DOI: 10.5705/Ss.202019.0238 |
0.317 |
|
| 2020 |
Tang Q, Kong L, Ruppert D, Karunamuni RJ. Partial Functional Partially Linear Single-Index Models Statistica Sinica. DOI: 10.5705/Ss.202018.0316 |
0.36 |
|
| 2020 |
Zhang T, Ning Y, Ruppert D. Optimal Sampling for Generalized Linear Models Under Measurement Constraints Journal of Computational and Graphical Statistics. 1-9. DOI: 10.1080/10618600.2020.1778483 |
0.317 |
|
| 2020 |
Yang R, Apley DW, Staum JC, Ruppert D. Density Deconvolution With Additive Measurement Errors Using Quadratic Programming Journal of Computational and Graphical Statistics. 1-12. DOI: 10.1080/10618600.2019.1704294 |
0.35 |
|
| 2019 |
Cao J, Soiaporn K, Carroll RJ, Ruppert D. Modeling and Prediction of Multiple Correlated Functional Outcomes. Journal of Agricultural, Biological, and Environmental Statistics. 24: 112-129. PMID 30956522 DOI: 10.1007/S13253-018-00344-0 |
0.54 |
|
| 2019 |
Kowal DR, Matteson DS, Ruppert D. Dynamic shrinkage processes Journal of the Royal Statistical Society Series B-Statistical Methodology. 81: 781-804. DOI: 10.1111/Rssb.12325 |
0.398 |
|
| 2019 |
Kowal DR, Matteson DS, Ruppert D. Functional Autoregression for Sparsely Sampled Data Journal of Business & Economic Statistics. 37: 97-109. DOI: 10.1080/07350015.2017.1279058 |
0.421 |
|
| 2018 |
Kim JS, Staicu AM, Maity A, Carroll RJ, Ruppert D. Additive Function-on-Function Regression. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 27: 234-244. PMID 29780218 DOI: 10.1080/10618600.2017.1356730 |
0.582 |
|
| 2017 |
Kowal DR, Matteson DS, Ruppert D. A Bayesian Multivariate Functional Dynamic Linear Model Journal of the American Statistical Association. 112: 733-744. DOI: 10.1080/01621459.2016.1165104 |
0.474 |
|
| 2016 |
Risk BB, Matteson DS, Spreng RN, Ruppert D. Spatiotemporal mixed modeling of multi-subject task fMRI via method of moments. Neuroimage. PMID 27211473 DOI: 10.1016/J.Neuroimage.2016.05.038 |
0.364 |
|
| 2016 |
Xiao L, Zipunnikov V, Ruppert D, Crainiceanu C. Fast Covariance Estimation for High-dimensional Functional Data. Statistics and Computing. 26: 409-421. PMID 26903705 DOI: 10.1007/S11222-014-9485-X |
0.75 |
|
| 2016 |
Steckley SG, Henderson SG, Ruppert D, Yang R, Apley DW, Staum J. Estimating the density of a conditional expectation Electronic Journal of Statistics. 10: 736-760. DOI: 10.1214/16-Ejs1121 |
0.475 |
|
| 2016 |
Zhang X, Liang H, Liu A, Ruppert D, Zou G. Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-effects Models Scandinavian Journal of Statistics. 43: 275-291. DOI: 10.1111/Sjos.12179 |
0.459 |
|
| 2016 |
Shetty R, Roman-Duval J, Hony S, Cormier D, Klessen RS, Konstandin LK, Loredo T, Pellegrini EW, Ruppert D. Simultaneously modelling far-infrared dust emission and its relation to CO emission in star-forming galaxies Monthly Notices of the Royal Astronomical Society. 460: 67-81. DOI: 10.1093/Mnras/Stw930 |
0.33 |
|
| 2016 |
Srivastava R, Li P, Ruppert D. RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections Journal of Computational and Graphical Statistics. 25: 954-970. DOI: 10.1080/10618600.2015.1062771 |
0.31 |
|
| 2015 |
Wang X, Ruppert D. Optimal prediction in an additive functional model Statistica Sinica. 25: 567-589. DOI: 10.5705/Ss.2013.074 |
0.409 |
|
| 2015 |
Fang Y, Lian H, Liang H, Ruppert D. Variance function additive partial linear models Electronic Journal of Statistics. 9: 2793-2827. DOI: 10.1214/15-Ejs1080 |
0.525 |
|
| 2014 |
McLean MW, Hooker G, Staicu AM, Scheipl F, Ruppert D. Functional Generalized Additive Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 23: 249-269. PMID 24729671 DOI: 10.1080/10618600.2012.729985 |
0.383 |
|
| 2014 |
Xiao L, Thurston SW, Ruppert D, Love TM, Davidson PW. Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study. Journal of the American Statistical Association. 109: 1-10. PMID 24729645 DOI: 10.1080/01621459.2013.830070 |
0.643 |
|
| 2014 |
Risk BB, Matteson DS, Ruppert D, Eloyan A, Caffo BS. An evaluation of independent component analyses with an application to resting-state fMRI. Biometrics. 70: 224-36. PMID 24350655 DOI: 10.1111/Biom.12111 |
0.372 |
|
| 2014 |
Staicu AM, Li Y, Crainiceanu CM, Ruppert D. Likelihood ratio tests for dependent data with applications to longitudinal and functional data analysis Scandinavian Journal of Statistics. 41: 932-949. DOI: 10.1111/Sjos.12075 |
0.751 |
|
| 2014 |
McLean MW, Hooker G, Ruppert D. Restricted likelihood ratio tests for linearity in scalar-on-function regression Statistics and Computing. 25: 997-1008. DOI: 10.1007/S11222-014-9473-1 |
0.373 |
|
| 2013 |
Woodard DB, Crainiceanu C, Ruppert D. Hierarchical Adaptive Regression Kernels for Regression with Functional Predictors. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 22. PMID 24293988 DOI: 10.1080/10618600.2012.694765 |
0.569 |
|
| 2013 |
Woodard DB, Love TM, Thurston SW, Ruppert D, Sathyanarayana S, Swan SH. Latent factor regression models for grouped outcomes. Biometrics. 69: 785-94. PMID 23845121 DOI: 10.1111/Biom.12037 |
0.351 |
|
| 2013 |
Soiaporn K, Chernoff D, Loredo T, Ruppert D, Wasserman I. Multilevel bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays Annals of Applied Statistics. 7: 1249-1285. DOI: 10.1214/13-Aoas654 |
0.361 |
|
| 2013 |
Kauermann G, Schellhase C, Ruppert D. Flexible copula density estimation with penalized hierarchical B-splines Scandinavian Journal of Statistics. 40: 685-705. DOI: 10.1111/Sjos.12018 |
0.443 |
|
| 2013 |
Xiao L, Li Y, Ruppert D. Fast bivariate P-splines: The sandwich smoother Journal of the Royal Statistical Society. Series B: Statistical Methodology. 75: 577-599. DOI: 10.1111/Rssb.12007 |
0.808 |
|
| 2012 |
Ruppert D, Shoemaker CA, Wang Y, Li Y, Bliznyuk N. Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs. Journal of Agricultural, Biological, and Environmental Statistics. 17: 623-640. PMID 29861620 DOI: 10.1007/S13253-012-0091-0 |
0.713 |
|
| 2012 |
Bliznyuk N, Ruppert D, Shoemaker CA. Local Derivative-Free Approximation of Computationally Expensive Posterior Densities. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 21: 676-695. PMID 29861616 DOI: 10.1080/10618600.2012.681255 |
0.42 |
|
| 2012 |
Staicu AM, Crainiceanu CM, Reich DS, Ruppert D. Modeling functional data with spatially heterogeneous shape characteristics. Biometrics. 68: 331-43. PMID 22050118 DOI: 10.1111/J.1541-0420.2011.01669.X |
0.609 |
|
| 2012 |
Thurston S, Xiao L, Ruppert D, Love T, Davidson P. O-093: Bayesian Models for Multiple Outcomes in Domains with Application to the Seychelles Child Development Study Epidemiology. 23: 1. DOI: 10.1097/01.Ede.0000416751.62695.Bc |
0.643 |
|
| 2012 |
Bliznyuk N, Ruppert D, Shoemaker CA. Local derivative-free approximation of computationally expensive posterior densities Journal of Computational and Graphical Statistics. 21: 476-495. DOI: 10.1080/10618600.2012.681255 |
0.316 |
|
| 2012 |
Shaby B, Ruppert D. Tapered covariance: Bayesian estimation and asymptotics Journal of Computational and Graphical Statistics. 21: 433-452. DOI: 10.1080/10618600.2012.680819 |
0.786 |
|
| 2012 |
Ruppert D, Shoemaker CA, Wang Y, Li Y, Bliznyuk N. Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs Journal of Agricultural, Biological, and Environmental Statistics. 17: 623-640. DOI: 10.1007/s13253-012-0091-0 |
0.696 |
|
| 2011 |
Bliznyuk N, Ruppert D, Shoemaker CA. Efficient Interpolation of Computationally Expensive Posterior Densities With Variable Parameter Costs. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 20: 636-655. PMID 29861615 DOI: 10.1198/Jcgs.2011.09212 |
0.38 |
|
| 2011 |
Wang X, Shen J, Ruppert D. On the asymptotics of penalized spline smoothing Electronic Journal of Statistics. 5: 1-17. DOI: 10.1214/10-Ejs593 |
0.443 |
|
| 2010 |
Sharef E, Strawderman RL, Ruppert D, Cowen M, Halasyamani L. Bayesian adaptive B-spline estimation in proportional hazards frailty models Electronic Journal of Statistics. 4: 606-642. DOI: 10.1214/10-Ejs566 |
0.488 |
|
| 2009 |
Liang H, Qin Y, Zhang X, Ruppert D. Empirical-Likelihood-Based Inferences for Generalized Partially Linear Models. Scandinavian Journal of Statistics, Theory and Applications. 36: 433-443. PMID 21113340 |
0.346 |
|
| 2009 |
Ruppert D, Wand MP, Carroll RJ. Semiparametric regression during 2003-2007. Electronic Journal of Statistics. 3: 1193-1256. PMID 20305800 DOI: 10.1214/09-Ejs525 |
0.524 |
|
| 2009 |
Thurston SW, Ruppert D, Davidson PW. Bayesian models for multiple outcomes nested in domains. Biometrics. 65: 1078-86. PMID 19397588 DOI: 10.1111/J.1541-0420.2009.01224.X |
0.324 |
|
| 2008 |
Liang H, Thurston SW, Ruppert D, Apanasovich T, Hauser R. Additive Partial Linear Models with Measurement Errors. Biometrika. 95. PMID 24198435 DOI: 10.1093/Biomet/Asn024 |
0.526 |
|
| 2008 |
Apanasovich TV, Ruppert D, Lupton JR, Popovic N, Turner ND, Chapkin RS, Carroll RJ. Aberrant crypt foci and semiparametric modeling of correlated binary data. Biometrics. 64: 490-500. PMID 17725810 DOI: 10.1111/J.1541-0420.2007.00892.X |
0.631 |
|
| 2008 |
Bliznyuk N, Ruppert D, Shoemaker C, Regis R, Wild S, Mugunthan P. Bayesian calibration and uncertainty analysis for computationally expensive models using optimization and radial basis function approximation Journal of Computational and Graphical Statistics. 17: 270-294. DOI: 10.1198/106186008X320681 |
0.38 |
|
| 2008 |
Staudenmayer J, Ruppert D, Buonaccorsi JP. Density estimation in the presence of heteroscedastic measurement error Journal of the American Statistical Association. 103: 726-736. DOI: 10.1198/016214508000000328 |
0.652 |
|
| 2008 |
Li Y, Ruppert D. On the asymptotics of penalized splines Biometrika. 95: 415-436. DOI: 10.1093/Biomet/Asn010 |
0.754 |
|
| 2008 |
Madsen L, Ruppert D, Altman NS. Regression with spatially misaligned data Environmetrics. 19: 453-467. DOI: 10.1002/Env.888 |
0.791 |
|
| 2007 |
Ruppert D, Nettleton D, Hwang JT. Exploring the information in p-values for the analysis and planning of multiple-test experiments. Biometrics. 63: 483-95. PMID 17715492 DOI: 10.1111/J.1541-0420.2006.00704.X |
0.498 |
|
| 2007 |
Ruppert D, Carroll RJ. Comment on article by Dominici et al Bayesian Analysis. 2: 37-42. DOI: 10.1214/07-Ba201B |
0.378 |
|
| 2007 |
Crainiceanu CM, Ruppert D, Carroll RJ, Joshi A, Goodner B. Spatially adaptive Bayesian penalized splines with heteroscedastic errors Journal of Computational and Graphical Statistics. 16: 265-288. DOI: 10.1198/106186007X208768 |
0.682 |
|
| 2006 |
Briggs W, Ruppert D. Assessing the skill of yes/no forecasts for Markov observations Monthly Weather Review. 134: 2601-2611. DOI: 10.1175/Mwr3190.1 |
0.61 |
|
| 2005 |
Briggs W, Ruppert D. Assessing the skill of yes/no predictions. Biometrics. 61: 799-807. PMID 16135031 DOI: 10.1111/J.1541-0420.2005.00347.X |
0.585 |
|
| 2005 |
Crainiceanu CM, Ruppert D, Wand MP. Bayesian analysis for penalized spline regression using WinBUGS Journal of Statistical Software. 14. DOI: 10.18637/Jss.V014.I14 |
0.612 |
|
| 2005 |
Briggs W, Pocernich M, Ruppert D. Incorporating misclassification error in skill assessment Monthly Weather Review. 133: 3382-3392. DOI: 10.1175/Mwr3032.1 |
0.624 |
|
| 2005 |
Crainiceanu C, Ruppert D, Claeskens G, Wand MP. Exact likelihood ratio tests for penalised splines Biometrika. 92: 91-103. DOI: 10.1093/Biomet/92.1.91 |
0.622 |
|
| 2004 |
Carroll RJ, Ruppert D, Crainiceanu CM, Tosteson TD, Karagas MR. Nonlinear and nonparametric regression and instrumental variables Journal of the American Statistical Association. 99: 736-750. DOI: 10.1198/016214504000001088 |
0.729 |
|
| 2004 |
Jarrow R, Ruppert D, Yu Y. Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model Journal of the American Statistical Association. 99: 57-66. DOI: 10.1198/016214504000000070 |
0.37 |
|
| 2004 |
Crainiceanu CM, Ruppert D. Likelihood ratio tests in linear mixed models with one variance component Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 165-185. DOI: 10.1111/J.1467-9868.2004.00438.X |
0.624 |
|
| 2004 |
Staudenmayer J, Ruppert D. Local polynomial regression and simulation-extrapolation Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 17-30. DOI: 10.1046/J.1369-7412.2003.05282.X |
0.69 |
|
| 2004 |
Crainiceanu CM, Ruppert D. Likelihood ratio tests for goodness-of-fit of a nonlinear regression model Journal of Multivariate Analysis. 91: 35-52. DOI: 10.1016/J.Jmva.2004.04.008 |
0.657 |
|
| 2004 |
Yu Y, Ruppert D. Root-n consistency of penalized spline estimator for partially linear single-index models under general euclidean space Statistica Sinica. 14: 449-455. |
0.339 |
|
| 2003 |
Crainiceanu CM, Stedinger JR, Ruppert D, Behr CT. Modeling the U.S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum Water Resources Research. 39. DOI: 10.1029/2002Wr001664 |
0.572 |
|
| 2003 |
Thurston SW, Spiegelman D, Ruppert D. Equivalence of regression calibration methods in main study/external validation study designs Journal of Statistical Planning and Inference. 113: 527-539. DOI: 10.1016/S0378-3758(01)00320-2 |
0.444 |
|
| 2002 |
Ruppert D. Selecting the number of knots for penalized splines Journal of Computational and Graphical Statistics. 11: 735-757. DOI: 10.1198/106186002853 |
0.315 |
|
| 2002 |
Berry SM, Carroll RJ, Ruppert D. Bayesian smoothing and regression splines for measurement error problems Journal of the American Statistical Association. 97: 160-169. DOI: 10.1198/016214502753479301 |
0.605 |
|
| 2002 |
Yu Y, Ruppert D. Penalized spline estimation for partially linear single-index models Journal of the American Statistical Association. 97: 1042-1054. DOI: 10.1198/016214502388618861 |
0.461 |
|
| 2001 |
Coull BA, Ruppert D, Wand MP. Simple incorporation of interactions into additive models Biometrics. 57: 539-545. PMID 11414581 DOI: 10.1111/J.0006-341X.2001.00539.X |
0.373 |
|
| 2001 |
Ruppert D. Nonparametric Regression and Spline Smoothing Journal of the American Statistical Association. 96: 1522-1523. DOI: 10.1198/016214501753382417 |
0.43 |
|
| 2001 |
Parise H, Wand MP, Ruppert D, Ryan L. Incorporation of historical controls using semiparametric mixed models Journal of the Royal Statistical Society Series C-Applied Statistics. 50: 31-42. DOI: 10.1111/1467-9876.00218 |
0.303 |
|
| 2000 |
Ruppert D, Carroll RJ. Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting Australian & New Zealand Journal of Statistics. 42: 205-223. DOI: 10.1111/1467-842X.00119 |
0.604 |
|
| 2000 |
Park T, Pan H, Yang Y, Engelien W, Ruppert D, Silbersweig DA, Stern E. Correction of physiological fluctuation in fMRI using linear prediction Neuroimage. 11: S472. DOI: 10.1016/S1053-8119(00)91403-4 |
0.559 |
|
| 2000 |
Ruppert D, Carroll RJ. Spatially-adaptive penalties for spline fitting Australian and New Zealand Journal of Statistics. 42: 205-223. |
0.41 |
|
| 1999 |
Opsomer JD, Ruppert D, Wand MP, Holst U, Hössjer O. Kriging with nonparametric variance function estimation Biometrics. 55: 704-710. PMID 11314996 DOI: 10.1111/J.0006-341X.1999.00704.X |
0.527 |
|
| 1999 |
Carroll RJ, Ruppert D, Stefanski LA. Regression Depth: Comment Journal of the American Statistical Association. 94: 410. DOI: 10.2307/2670159 |
0.688 |
|
| 1999 |
Brumback BA, Ruppert D, Wand MP. Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior: Comment Journal of the American Statistical Association. 94: 794. DOI: 10.2307/2669991 |
0.454 |
|
| 1999 |
Chen VCP, Ruppert D, Shoemaker CA. Applying experimental design and regression splines to high-dimensional continuous-state stochastic dynamic programming Operations Research. 47: 38-53. DOI: 10.1287/Opre.47.1.38 |
0.365 |
|
| 1999 |
Opsomer JD, Ruppert D. A Root-n consistent backfitting estimator for semiparametric additive modeling Journal of Computational and Graphical Statistics. 8: 715-732. DOI: 10.1080/10618600.1999.10474845 |
0.49 |
|
| 1999 |
Carroll RJ, Maca JD, Ruppert D. Nonparametric regression in the presence of measurement error Biometrika. 86: 541-554. |
0.322 |
|
| 1998 |
Carroll RJ, Ruppert D, Welsh AH. Local Estimating Equations Journal of the American Statistical Association. 93: 214-227. DOI: 10.1080/01621459.1998.10474103 |
0.598 |
|
| 1998 |
Opsomer JD, Ruppert D. A fully automated bandwidth selection method for fitting additive models Journal of the American Statistical Association. 93: 605-619. DOI: 10.1080/01621459.1998.10473714 |
0.43 |
|
| 1997 |
Ruppert D, Wand MP, Holst U, Hössjer O. Local polynomial variance-function estimation Technometrics. 39: 262-273. DOI: 10.2307/1271131 |
0.527 |
|
| 1997 |
Opsomer JD, Ruppert D. Fitting a bivariate additive model by local polynomial regression Annals of Statistics. 25: 186-211. DOI: 10.1214/Aos/1034276626 |
0.48 |
|
| 1997 |
Park BU, Kim WC, Ruppert D, Jones MC, Signorini DF, Kohn R. Simple transformation techniques for improved non-parametric regression Scandinavian Journal of Statistics. 24: 145-163. DOI: 10.1111/1467-9469.00055 |
0.409 |
|
| 1997 |
Ruppert D. Empirical-bias bandwidths for local polynomial nonparametric regression and density estimation Journal of the American Statistical Association. 92: 1049-1062. DOI: 10.1080/01621459.1997.10474061 |
0.504 |
|
| 1996 |
Carroll RJ, Ruppert D. The Use and Misuse of Orthogonal Regression in Linear Errors-in-Variables Models The American Statistician. 50: 1-6. DOI: 10.1080/00031305.1996.10473533 |
0.532 |
|
| 1996 |
Wang N, Ruppert D. Estimation of regression parameters in a semiparametric transformation model Journal of Statistical Planning and Inference. 52: 331-351. DOI: 10.1016/0378-3758(95)00131-X |
0.532 |
|
| 1995 |
Ruppert D, Sheather SJ, Wand MP. An effective bandwidth selector for local least squares regression Journal of the American Statistical Association. 90: 1257-1270. DOI: 10.1080/01621459.1995.10476630 |
0.462 |
|
| 1995 |
Wang N, Ruppert D. Nonparametric estimation of the transformation in the transform-both-sides regression model Journal of the American Statistical Association. 90: 522-534. DOI: 10.1080/01621459.1995.10476544 |
0.426 |
|
| 1994 |
Ruppert D, Wand MP. Multivariate Locally Weighted Least Squares Regression Annals of Statistics. 22: 1346-1370. DOI: 10.1214/Aos/1176325632 |
0.478 |
|
| 1994 |
Ruppert D, Cline DBH. Bias reduction in kernel density estimation by smoothed empirical transformations Annals of Statistics. 22: 185-210. DOI: 10.1214/Aos/1176325365 |
0.416 |
|
| 1994 |
Marron JS, Ruppert D. Transformations to reduce boundary bias in kernel density estimation Journal of the Royal Statistical Society Series B-Methodological. 56: 653-671. DOI: 10.1111/J.2517-6161.1994.Tb02006.X |
0.397 |
|
| 1994 |
HÖssjeri O, Ruppert D. Taylor series approximations of transformation kernel density estimators Journal of Nonparametric Statistics. 4: 165-177. DOI: 10.1080/10485259408832608 |
0.417 |
|
| 1994 |
Carroll RJ, Hall P, Ruppert D. Estimation of lag in misregistered, averaged images Journal of the American Statistical Association. 89: 219-229. DOI: 10.1080/01621459.1994.10476463 |
0.541 |
|
| 1994 |
Welsh AH, Carroll RJ, Ruppert D. Fitting Heteroscedastic Regression Models Journal of the American Statistical Association. 89: 100-116. DOI: 10.1080/01621459.1994.10476450 |
0.632 |
|
| 1993 |
Carroll RJ, Eltinge JL, Ruppert D. Robust linear regression in replicated measurement error models Statistics and Probability Letters. 16: 169-175. DOI: 10.1016/0167-7152(93)90139-A |
0.591 |
|
| 1992 |
Ruppert D, Wand MP. Correcting For Kurtosis In Density Estimation Australian & New Zealand Journal of Statistics. 34: 19-29. DOI: 10.1111/J.1467-842X.1992.Tb01039.X |
0.493 |
|
| 1992 |
Ruppert D. Computings Estimators For Regression And Multivariate Location/Dispersion Journal of Computational and Graphical Statistics. 1: 253-270. DOI: 10.1080/10618600.1992.10474584 |
0.452 |
|
| 1992 |
Stromberg AJ, Ruppert D. Breakdown in nonlinear regression Journal of the American Statistical Association. 87: 991-997. DOI: 10.1080/01621459.1992.10476254 |
0.422 |
|
| 1992 |
Simpson DG, Ruppert D, Carroll RJ. On one-step gm estimates and stability of inferences in linear regression Journal of the American Statistical Association. 87: 439-450. DOI: 10.1080/01621459.1992.10475224 |
0.72 |
|
| 1991 |
Wand MP, Marron JS, Ruppert D. Transformations in Density Estimation: Rejoinder Journal of the American Statistical Association. 86: 360. DOI: 10.2307/2290575 |
0.386 |
|
| 1991 |
Carroll RJ, Ruppert D. Prediction and tolerance intervals with transformation and/or weighting Technometrics. 33: 197-210. DOI: 10.2307/1269046 |
0.584 |
|
| 1991 |
Wand MP, Marron JS, Ruppert D. Transformations in density estimation Journal of the American Statistical Association. 86: 343-353. DOI: 10.1080/01621459.1991.10475041 |
0.413 |
|
| 1991 |
Carroll RJ, Ruppert D. Prediction and tolerance intervals with transformation and/or weighting Technometrics. 33: 197-210. DOI: 10.1080/00401706.1991.10484807 |
0.364 |
|
| 1991 |
Bandeen-Roche K, Ruppert D. Source apportionment with one source unknown Chemometrics and Intelligent Laboratory Systems. 10: 169-184. DOI: 10.1016/0169-7439(91)80046-S |
0.373 |
|
| 1990 |
Sprent P, Carroll RJ, Ruppert D. Transformations and Weighting in Regression. Biometrics. 46: 283. DOI: 10.2307/2531658 |
0.444 |
|
| 1990 |
Frees EW, Ruppert D. Estimation following a sequentially designed experiment Journal of the American Statistical Association. 85: 1123-1129. DOI: 10.1080/01621459.1990.10474984 |
0.479 |
|
| 1989 |
Giltinan DM, Ruppert D. Fitting heteroscedastic regression models to individual pharmacokinetic data using standard statistical software Journal of Pharmacokinetics and Biopharmaceutics. 17: 601-614. PMID 2614688 DOI: 10.1007/Bf01071352 |
0.394 |
|
| 1989 |
Rudemo M, Ruppert D, Streibig JC. Random-effect models in nonlinear regression with applications to bioassay Biometrics. 45: 349-362. DOI: 10.2307/2531482 |
0.401 |
|
| 1989 |
Ruppert D, Aldershof B. Transformations to symmetry and homoscedasticity Journal of the American Statistical Association. 84: 437-446. DOI: 10.1080/01621459.1989.10478788 |
0.474 |
|
| 1989 |
Englund JE, Holst U, Ruppert D. Recursive estimators for stationary, strong mixing processes-a representation theorem and asymptotic distributions Stochastic Processes and Their Applications. 31: 203-222. DOI: 10.1016/0304-4149(89)90088-4 |
0.465 |
|
| 1989 |
Ruppert D, Cressie N, Carroll RJ. A transofmration/weighting model for estimating Michaelis-Menten parameters Biometrics. 45: 637-656. |
0.363 |
|
| 1988 |
Carroll RJ, Ruppert D. [Signal-to-Noise Ratios, Performance Criteria, and Transformations]: Discussion Technometrics. 30: 30. DOI: 10.2307/1270315 |
0.413 |
|
| 1988 |
Box G, Shoemaker AC, Tsui K, León RV, Parr WC, Nair VN, Pregibon D, Carroll RJ, Ruppert D, Gunter B, Ullman NR. Signal-to-noise ratios, performance criteria, and transformations Technometrics. 30: 1-40. DOI: 10.2307/1270311 |
0.469 |
|
| 1988 |
Carroll RJ, Wu CFJ, Ruppert D. The effect of estimating weights in weighted least squares Journal of the American Statistical Association. 83: 1045-1054. DOI: 10.1080/01621459.1988.10478699 |
0.622 |
|
| 1988 |
Street JO, Carroll RJ, Ruppert D. A note on computing robust regression estimates via iteratively reweighted least squares American Statistician. 42: 152-154. DOI: 10.1080/00031305.1988.10475548 |
0.592 |
|
| 1987 |
Carroll RJ, Ruppert D. Diagnostics and robust estimation when tranforming the regression model and the response Technometrics. 29: 287-299. DOI: 10.2307/1269339 |
0.596 |
|
| 1987 |
Simpson DG, Carroll RJ, Ruppert D. $M$-Estimation for Discrete Data: Asymptotic Distribution Theory and Implications The Annals of Statistics. 15: 657-669. DOI: 10.1214/Aos/1176350367 |
0.702 |
|
| 1987 |
Carroll RJ, Ruppert D. Diagnostics and robust estimation when transforming the regression model and the response Technometrics. 29: 287-299. DOI: 10.1080/00401706.1987.10488239 |
0.349 |
|
| 1986 |
Giltinan DM, Carroll RJ, Ruppert D. Some new estimation methods for weighted regression where there are possible outliers Technometrics. 28: 219-230. DOI: 10.2307/1269077 |
0.629 |
|
| 1986 |
Carroll RJ, Ruppert D. Discussion: Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis The Annals of Statistics. 14: 1298-1301. DOI: 10.1214/Aos/1176350144 |
0.487 |
|
| 1986 |
Stefanski LA, Carroll RJ, Ruppert D. Optimally hounded score functions for generalized linear models with applications to logistic regression Biometrika. 73: 413-424. DOI: 10.1093/Biomet/73.2.413 |
0.752 |
|
| 1986 |
Giltinan DM, Carroll RJ, Ruppert D. Some new estimation methods for weighted regression when there are possible outliers Technometrics. 28: 219-230. DOI: 10.1080/00401706.1986.10488129 |
0.407 |
|
| 1985 |
Ruppert D. On the bounded-influence regression estimator of Krasker and Welsch Journal of the American Statistical Association. 80: 205-208. DOI: 10.1080/01621459.1985.10477162 |
0.433 |
|
| 1985 |
Carroll RJ, Ruppert D. Transformations in regression: A robust analysis Technometrics. 27: 1-12. DOI: 10.1080/00401706.1985.10488007 |
0.617 |
|
| 1984 |
Ruppert D, Reish RL, Deriso RB, Carroll RJ. Optimization Using Stochastic Approximation and Monte Carlo Simulation (with Application to Harvesting of Atlantic Menhaden) Biometrics. 40: 535. DOI: 10.2307/2531408 |
0.491 |
|
| 1984 |
Carroll RJ, Ruppert D. The Analysis of Transformed Data: Comment Journal of the American Statistical Association. 79: 312. DOI: 10.2307/2288266 |
0.443 |
|
| 1984 |
Carroll RJ, Ruppert D. Power transformations when fitting theoretical models to data Journal of the American Statistical Association. 79: 321-328. DOI: 10.1080/01621459.1984.10478052 |
0.54 |
|
| 1982 |
Ruppert D, Carroll RJ. Corrigenda: Trimmed Least Squares Estimation in the Linear Model Journal of the American Statistical Association. 77: 954. DOI: 10.2307/2287359 |
0.619 |
|
| 1982 |
Carroll RJ, Ruppert D. Robust Estimation in Heteroscedastic Linear Models The Annals of Statistics. 10: 429-441. DOI: 10.1214/Aos/1176345784 |
0.61 |
|
| 1982 |
Carroll RJ, Ruppert D. A comparison between maximum likelihood and generalized least squares in a heteroscedastic linear model Journal of the American Statistical Association. 77: 878-882. DOI: 10.1080/01621459.1982.10477901 |
0.606 |
|
| 1982 |
Carroll RJ, Ruppert D. Weak convergence of bounded influence regression estimates with applications to repeated significance testing Journal of Statistical Planning and Inference. 7: 117-129. DOI: 10.1016/0378-3758(82)90070-2 |
0.57 |
|
| 1981 |
Ruppert D. Stochastic Approximation of an Implicity Defined Function Annals of Statistics. 9: 555-566. DOI: 10.1214/Aos/1176345459 |
0.313 |
|
| 1981 |
Carroll RJ, Ruppert D. On Robust Tests for Heteroscedasticity The Annals of Statistics. 9: 206-210. DOI: 10.1214/Aos/1176345349 |
0.491 |
|
| 1981 |
Carroll RJ, Ruppert D. On prediction and the power transformation family Biometrika. 68: 609-615. DOI: 10.1093/Biomet/68.3.609 |
0.554 |
|
| 1980 |
Ruppert D, Carroll RJ. Trimmed least squares estimation in the linear model Journal of the American Statistical Association. 75: 828-838. DOI: 10.1080/01621459.1980.10477560 |
0.622 |
|
| 1979 |
Ruppert D. A New Dynamic Stochastic Approximation Procedure Annals of Statistics. 7: 1179-1195. DOI: 10.1214/Aos/1176344839 |
0.33 |
|
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