Year |
Citation |
Score |
2018 |
Sheather SJ, McKean JW. Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” Statistical Methods & Applications. 27: 625-629. DOI: 10.1007/S10260-018-0422-6 |
0.343 |
|
2015 |
Lindsey C, Sheather S. Best Subsets Variable Selection in Nonnormal Regression Models Stata Journal. 15: 1046-1059. DOI: 10.1177/1536867X1501500406 |
0.747 |
|
2014 |
Lindsey CD, Sheather SJ, McKean JW. Using sliced mean variance-covariance inverse regression for classification and dimension reduction Computational Statistics. 29: 769-798. DOI: 10.1007/S00180-013-0460-3 |
0.731 |
|
2013 |
Prendergast LA, Sheather SJ. On Sensitivity of Inverse Response Plot Estimation and the Benefits of a Robust Estimation Approach Scandinavian Journal of Statistics. 40: 219-237. DOI: 10.1111/J.1467-9469.2012.00807.X |
0.411 |
|
2010 |
Savchuk OY, Hart JD, Sheather SJ. Indirect Cross-Validation for Density Estimation Journal of the American Statistical Association. 105: 415-423. DOI: 10.1198/Jasa.2010.Tm08532 |
0.395 |
|
2010 |
Lindsey C, Sheather S. Variable selection in linear regression Stata Journal. 10: 650-669. DOI: 10.1177/1536867X1101000407 |
0.734 |
|
2010 |
Lindsey C, Sheather S. Model fit assessment via marginal model plots Stata Journal. 10: 215-225. DOI: 10.1177/1536867X1001000203 |
0.731 |
|
2010 |
Lindsey C, Sheather S. Optimal power transformation via inverse response plots Stata Journal. 10: 200-214. DOI: 10.1177/1536867X1001000202 |
0.724 |
|
2010 |
Lindsey C, Sheather S. Power transformation via multivariate Box-Cox Stata Journal. 10: 69-81. DOI: 10.1177/1536867X1001000108 |
0.739 |
|
2008 |
Sheather SJ, McKean JW, Crimin K. Sliced mean variance–covariance inverse regression Computational Statistics & Data Analysis. 52: 1908-1927. DOI: 10.1016/J.Csda.2007.06.007 |
0.421 |
|
2007 |
Crimin K, McKean JW, Sheather SJ. Discriminant procedures based on efficient robust discriminant coordinates Journal of Nonparametric Statistics. 19: 199-213. DOI: 10.1080/10485250701688156 |
0.363 |
|
2003 |
Harrold TI, Sharma A, Sheather SJ. A nonparametric model for stochastic generation of daily rainfall amounts Water Resources Research. 39: 1343. DOI: 10.1029/2003Wr002570 |
0.349 |
|
2003 |
Harrold TI, Sharma A, Sheather SJ. A nonparametric model for stochastic generation of daily rainfall occurrence Water Resources Research. 39: 1300. DOI: 10.1029/2003Wr002182 |
0.345 |
|
2002 |
Hettmansperger T, Mckean J, Sheather S. Finite sample performance of tests for symmetry of the errors in a linear model Journal of Statistical Computation and Simulation. 72: 863-879. DOI: 10.1080/00949650214676 |
0.32 |
|
2001 |
Harrold TI, Sharma A, Sheather S. Selection of a kernel bandwidth for measuring dependence in hydrologic time series using the mutual information criterion Stochastic Environmental Research and Risk Assessment. 15: 310-324. DOI: 10.1007/S004770100073 |
0.411 |
|
2000 |
Hettmansperger TP, Mckean JW, Sheather SJ. Robust Nonparametric Methods Journal of the American Statistical Association. 95: 1308-1312. DOI: 10.1080/01621459.2000.10474337 |
0.349 |
|
2000 |
McKean JW, Sheather SJ. Partial residual plots based on robust fits Technometrics. 42: 249-261. DOI: 10.1080/00401706.2000.10486046 |
0.343 |
|
1999 |
McKean JW, Sheather SJ. Regression Depth: Comment Journal of the American Statistical Association. 94: 411. DOI: 10.2307/2670160 |
0.329 |
|
1999 |
McKean JW, Naranjo JD, Sheather SJ. Diagnostics for comparing robust and least squares fits Journal of Nonparametric Statistics. 11: 161-188. DOI: 10.1080/10485259908832779 |
0.39 |
|
1999 |
Chang WH, Mckean JW, Naranjo JD, Sheather SJ. High-Breakdown Rank Regression Journal of the American Statistical Association. 94: 205-219. DOI: 10.1080/01621459.1999.10473836 |
0.381 |
|
1999 |
Fraiman R, Meloche J, García-Escudero LA, Gordaliza A, He X, Maronna R, Yohai VJ, Sheather SJ, McKean JW, Small CG, Wood A, Fraiman R, Meloche J. Multivariate L-estimation Test. 8: 255-317. DOI: 10.1007/Bf02595872 |
0.398 |
|
1997 |
Barnett G, Kohn R, Sheather S. Robust Bayesian Estimation Of Autoregressive--Moving-Average Models Journal of Time Series Analysis. 18: 11-28. DOI: 10.1111/1467-9892.00036 |
0.381 |
|
1997 |
Sheather SJ, McKean JW, Hettmansperger TP. Finite sample stability properties of the least median of squares estimator Journal of Statistical Computation and Simulation. 58: 371-383. DOI: 10.1080/00949659708811841 |
0.36 |
|
1997 |
Hettmansperger TP, McKean JW, Sheather SJ. 7 Rank-based analyses of linear models Handbook of Statistics. 15: 145-173. DOI: 10.1016/S0169-7161(97)15009-X |
0.427 |
|
1996 |
Smith M, Sheather SJ, Kohn R. Finite Sample Performance of Robust Bayesian Regression Computational Statistics. 11. DOI: 10.2139/Ssrn.41540 |
0.388 |
|
1996 |
McKean JW, Naranjo JD, Sheather SJ. An efficient and high breakdown procedure for model criticism Communications in Statistics - Theory and Methods. 25: 2575-2595. DOI: 10.1080/03610929608831857 |
0.352 |
|
1996 |
Jones MC, Marron JS, Sheather SJ. A brief survey of bandwidth selection for density estimation Journal of the American Statistical Association. 91: 401-407. DOI: 10.1080/01621459.1996.10476701 |
0.369 |
|
1996 |
Barnett G, Kohn R, Sheather S. Bayesian estimation of an autoregressive model using Markov chain Monte Carlo Journal of Econometrics. 74: 237-254. DOI: 10.1016/0304-4076(95)01744-5 |
0.403 |
|
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 |
0.401 |
|
1995 |
George KJ, Mckean JW, Schucany WR, Sheather SJ. A Comparison Of Confidence Intervals From R-Estimators In Regression Journal of Statistical Computation and Simulation. 53: 13-22. DOI: 10.1080/00949659508811692 |
0.344 |
|
1995 |
Barnett G, Kohn R, Sheather S, Wong J. Markov chain Monte Carlo estimation of autoregressive models with application to metal pollutant concentration in sludge Mathematical and Computer Modelling. 22: 7-13. DOI: 10.1016/0895-7177(95)00175-2 |
0.331 |
|
1994 |
Naranjo J, Sheather S, Hettmansperger T, McKean J. The Use and Interpretation of Rank-Based Residuals Journal of Nonparametric Statistics. 3: 323-341. DOI: 10.1080/10485259408832592 |
0.346 |
|
1994 |
McKean JW, Sheather SJ, Hettmansperger TP. Robust and high-breakdown fits of polynomial models Technometrics. 36: 409-415. DOI: 10.1080/00401706.1994.10485847 |
0.429 |
|
1993 |
McKean JW, Sheather SJ, Hettmansperger TP. The use and interpretation of residuals based on Robust estimation Journal of the American Statistical Association. 88: 1254-1263. DOI: 10.1080/01621459.1993.10476406 |
0.41 |
|
1992 |
Kim C, Staudte RG, Sheather SJ. Robust Estimation and Testing Journal of Marketing Research. 29: 484. DOI: 10.2307/3172716 |
0.321 |
|
1992 |
Hettmansperger TP, Sheather SJ. A cautionary note on the method of least median squares American Statistician. 46: 79-83. DOI: 10.1080/00031305.1992.10475855 |
0.347 |
|
1991 |
Sheather SJ, Jones MC. A reliable data-based bandwidth selection method for kernel density estimation Journal of the Royal Statistical Society Series B-Methodological. 53: 683-690. DOI: 10.1111/J.2517-6161.1991.Tb01857.X |
0.396 |
|
1991 |
Hall P, Sheather SJ, Jones MC, Marron JS. On optimal data-based bandwidth selection in Kernel density estimation Biometrika. 78: 263-269. DOI: 10.1093/Biomet/78.2.263 |
0.363 |
|
1991 |
Jones MC, Sheather SJ. Using non stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives Statistics & Probability Letters. 11: 511-514. DOI: 10.1016/0167-7152(91)90116-9 |
0.348 |
|
1990 |
Sheather SJ, Marron JS. Kernel quantile estimators Journal of the American Statistical Association. 85: 410-416. DOI: 10.1080/01621459.1990.10476214 |
0.392 |
|
1990 |
McKean JW, Sheather SJ, Hettmansperger TP. Regression diagnostics for rank-based methods Journal of the American Statistical Association. 85: 1018-1028. DOI: 10.1080/01621459.1990.10474972 |
0.353 |
|
1989 |
Schucany WR, Sheather SJ. Jackknifing r-estimators Biometrika. 76: 393-398. DOI: 10.1093/Biomet/76.2.393 |
0.374 |
|
1987 |
Sheather SJ. A new Method of Estimating the Asymptotic Standard Error of the Hodges‐Lehmann Estimator Based on Generalized Least Squares Australian & New Zealand Journal of Statistics. 29: 66-83. DOI: 10.1111/J.1467-842X.1987.Tb00722.X |
0.377 |
|
1987 |
Sheather SJ, McKean JW. A comparison of testing and confidence interval methods for the median Statistics and Probability Letters. 6: 31-36. DOI: 10.1016/0167-7152(87)90055-1 |
0.347 |
|
1986 |
Sheather SJ. A finite sample estimate of the variance of the sample median Statistics & Probability Letters. 4: 337-342. DOI: 10.1016/0167-7152(86)90055-6 |
0.318 |
|
1986 |
Hettmansperger TP, Sheather SJ. Confidence intervals based on interpolated order statistics Statistics and Probability Letters. 4: 75-79. DOI: 10.1016/0167-7152(86)90021-0 |
0.319 |
|
1985 |
Scott DW, Sheather SJ. Kernel density estimation with binned data Communications in Statistics-Theory and Methods. 14: 1353-1359. DOI: 10.1080/03610928508828980 |
0.334 |
|
1983 |
Sheather SJ, Maritz JS. An Estimate Of The Asymptotic Standard Error Of The Sample Median Australian & New Zealand Journal of Statistics. 25: 109-122. DOI: 10.1111/J.1467-842X.1983.Tb01203.X |
0.358 |
|
1983 |
Sheather S. A data-based algorithm for choosing the window width when estimating the density at a point Computational Statistics & Data Analysis. 1: 229-238. DOI: 10.1016/0167-9473(83)90097-X |
0.363 |
|
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