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- A casebook for a first course in statistics and data analysis (1995)

- Smoothing methods in statistics (1996)

- On the Sensitivity of the Lasso to the Number of Predictor Variables. Statistical Science 2017. 32:88-105 .
- Model selection in regression based on pre-smoothing. Journal of Applied Statistics 2010. 37:1455-1472 .
- Risk-Management and Risk-Analysis-Based Decision Tools for Attacks on Electric Power. Risk Analysis 2007. 27:547-570 .
- An investigation of missing data methods for decision trees. .
- "last licks": Do they really help?. The American Statistician 2006. 60:13-18 .
- A mathematical programming approach for improving the robustness of least sum of absolute deviations regression. Naval Research Logistics (NRL) 2006. 53:261-271 .
- Comment on ``The analysis of ordered categorical data: An overview and a survey of recent developments'' (Pkg: p1-73). TEST: An official journal of the Spanish Society of Statistics and Operations Research 2005. 14:33-36 .
- Were the 1996-2000 Yankees the best baseball team ever?. CHANCE 2002. 15:23-29 .
- An empirical study of factors relating to the success of broadway shows. .
- A robust approach to categorical data analysis. Journal of Computational and Graphical Statistics 2001. 10:135-157 .
- Predicting movie grosses: Winners and losers, blockbusters and sleepers. CHANCE 2000. 13:15-24 .
- Smoothing methods for discrete data. .
- Transformation-based density estimation for weighted distributions. Journal of Nonparametric Statistics 2000. 12:861-878 .
- Semiparametric and additive model selection using an improved Akaike information criterion. Journal of Computational and Graphical Statistics 1999. 8:22-40 .
- Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1998. 60:271-293 .
- Three sides of smoothing: Categorical data smoothing, nonparametric regression, and density estimation. International Statistical Review 1998. 66:137-156 .
- Using an improved Akaike information criterion for smoothing parameter selection and semiparametric and additive model selection. .
- Logistic regression, categorical predictors, and goodness-of-fit: It depends on who you ask (Corr: 1998V52 p371). The American Statistician 1998. 52:10-14 .
- Three sides of smoothing: Categorical data smoothing, nonparametric regression, and density estimation. International Statistical Review 1998. 66:137-156 .
- Move over, Roger Maris: Breaking baseball's most famous record. Journal of Statistics Education: An international journal on the teaching and learning of statistics 1998. 6:7-7 .
- Measuring the stability of histogram appearance when the anchor position is changed. Computational Statistics & Data Analysis 1997. 23:335-353 .
- The `unusual episode' and a second statistics course. Journal of Statistics Education: An international journal on the teaching and learning of statistics 1997. 5:3-3 .
- Smoothing-based modeling of contingency tables. .
- Teaching statistics with real data: Using a casebook in an introductory statistics course. .
- The anchor position of histograms and frequency polygons: Quantitative and qualitative smoothing. Communications in Statistics: Simulation and Computation 1995. 24:691-710 .
- Reply to comment on ``Procedures for the identification of multiple outliers in linear models''. Journal of the American Statistical Association 1995. 90:811-812 .
- A simple, automatic and adaptive bivariate density estimator based on conditional densities. Statistics and Computing 1995. 5:245-252 .
- Smoothing categorical data. Journal of Statistical Planning and Inference 1995. 47:41-69 .
- A geometric combination estimator for $d$-dimensional ordinal sparse contingency tables. The Annals of Statistics 1995. 23:1143-1159 .
- Use of modified profile likelihood for improved tests of constancy of variance in regression. Applied Statistics 1994. 43:357-370 .
- Improving the estimation and outlier identification properties of the least median of squares and minimum volume ellipsoid estimators. Parisankhyan Samikkha 1994. 1:61-70 .
- The construction and properties of boundary kernels for smoothing sparse multinomials. Journal of Computational and Graphical Statistics 1994. 3:57-66 .
- Distributing a computationally intensive estimator: The case of exact LMS regression. Computational Statistics 1994. 9:83-95 .
- Algorithm AS 282: High breakdown regression and multivariate estimation. Journal of the Royal Statistical Society, Series C: Applied Statistics 1993. 42:423-432 .
- A study of the effectiveness of simple density estimation methods (Corr: 94V9 p81). Computational Statistics 1993. 8:259-278 .
- The relative importance of bias and variability in the estimation of the variance of a statistic. Journal of the Royal Statistical Society, Series D: The Statistician 1993. 42:3-7 .
- Comment on ``Choice of prediction estimator in censored regression models''. Biometrics 1993. 49:664-664 .
- Procedures for the identification of multiple outliers in linear models. Journal of the American Statistical Association 1993. 88:1264-1272 .
- Comment on ``The identification of multiple outliers''. Journal of the American Statistical Association 1993. 88:793-794 .
- Prediction in censored survival data: A comparison of the proportional hazards and linear regression models. Biometrics 1992. 48:101-115 .
- Assessing the influence of individual observations on a goodness-of-fit test based on nonparametric regression. Statistics & Probability Letters 1991. 12:9-17 .
- General approaches to stepwise identification of unusual values in data analysis. .
- Higher order effects in log-linear and log-non-linear models for contingency tables with ordered categories. Applied Statistics 1991. 40:449-458 .
- The construction and properties of variable width histograms and frequency polygons. .
- Variance estimation for sample autocovariances: Direct and resampling approaches. Australian & New Zealand Journal of Statistics 1991. 33:23-42 .
- A comparison of estimators for regression with a censored response variable. Biometrika 1990. 77:515-520 .
- The use of guided reformulations when collinearities are present in non-linear regression. Applied Statistics 1989. 38:115-126 .
- Regression diagnostics to detect nonrandom missingness in linear regression. Technometrics 1988. 30:205-214 .
- Reply to comments on ``Alternative estimation procedures for $\Pr(X<Y)$ in categorized data''. Biometrics 1988. 44:621-621 .
- Jackknifing and bootstrapping quasi-likelihood estimators. Journal of Statistical Computation and Simulation 1988. 30:213-232 .
- Detecting outlying cells in two-way contingency tables via backwards-stepping (Corr: V32 p115). Technometrics 1988. 30:339-345 .
- Outlier detection and robust estimation of scale. Journal of Statistical Computation and Simulation 1987. 27:79-92 .
- The breakdown and influence properties of outlier rejection-plus-mean procedures. Communications in Statistics: Theory and Methods 1987. 16:1749-1760 .
- Comments on ``A fable of PCA'' (86V40 p323-324) [Letter]. The American Statistician 1987. 41:341-341 .
- Probability estimation via smoothing in sparse contingency tables with ordered categories (Corr: V5 p313). Statistics & Probability Letters 1987. 5:55-63 .
- Comments on ``Performance of some resistant rules for outlier labeling'' (Ref: V81 p991-999). Journal of the American Statistical Association 1987. 82:703-704 .
- Diagnostic plots for missing data in least squares regression. Journal of the American Statistical Association 1986. 81:501-509 .
- Jackknifing and bootstrapping goodness-of-fit statistics in sparse multinomials. Journal of the American Statistical Association 1986. 81:1005-1011 .
- Discussion: Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. The Annals of Statistics 1986. 14:1326-1328 .
- Regression methodology based disclosure of a statistical database. .
- Comments on ``Jackknife, bootstrap and other resampling methods in regression analysis''. The Annals of Statistics 1986. 14:1326-1328 .
- Alternative estimation procedures for $\Pr(X<Y)$ in categorized data (Com: V44 p615-621; Corr: V45 p701). Biometrics 1986. 42:895-907 .
- Jackknife-based estimators and confidence regions in nonlinear regression. Technometrics 1986. 28:103-112 .
- An improved goodness-of-fit statistic for sparse multinomials. Journal of the American Statistical Association 1985. 80:671-677 .
- The calculation of outlier detection statistics. Communications in Statistics: Simulation and Computation 1984. 13:275-285 .
- A look at daily lotteries. The American Statistician 1983. 37:49-52 .
- A penalty function approach to smoothing large sparse contingency tables. The Annals of Statistics 1983. 11:208-218 .
- A comparison of robust methods and detection of outliers techniques when estimating a location parameter. .
- An improved goodness-of-fit statistic for sparse multinomials. .
- The application of maximum penalized likelihood to the smoothing of large sparse multinomials. .