Curriculum Guidelines for Undergraduate Programs in Data Science von De Veaux, Richard D, Agarwal, Mahesh, Averett, Maia, Baumer, Benjamin S, Bray, Andrew, Bressoud, Thomas C, Bryant, Lance, Cheng, Lei Z, Francis, Amanda, Gould, Robert, Kim, Albert Y, Kretchmar, Matt, Lu, Qin, Moskol, Ann, Nolan, Deborah, Pelayo, Roberto, Raleigh, Sean, Sethi, Ricky J, Sondjaja, Mutiara, Tiruviluamala, Neelesh, Uhlig, Paul X, Washington, Talitha M, Wesley, Curtis L, White, David, Ye, Ping

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A Conversation with J. Stuart (Stu) Hunter von De Veaux, Richard D., Hunter, J. Stuart (Stu)

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Applying statistical thinking to 'Big Data' problems von Hoerl, Roger W., Snee, Ronald D., De Veaux, Richard D.

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Big data and the missing links von De Veaux, Richard D., Hoerl, Roger W., Snee, Ronald D.

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How to Lie with Bad Data von De Veaux, Richard D., Hand, David J.

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Prediction Intervals for Neural Networks via Nonlinear Regression von De VlEAUX, Richard D., Schumi, Jennifer, Schweinsberg, Jason, Ungar, Lyle H.

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THE ASA PRESIDENT'S TASK FORCE STATEMENT ON STATISTICAL SIGNIFICANCE AND REPLICABILITY von Benjamini, Yoav, De Veaux, Richard D., Efron, Bradley, Evans, Scott, Glickman, Mark, Graubard, Barry I., He, Xuming, Meng, Xiao-Li, Reid, Nancy, Stigler, Stephen M., Vardeman, Stephen B., Wikle, Christopher K., Wright, Tommy, Young, Linda J., Kafadar, Karen

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Prediction Intervals for Neural Networks via Nonlinear Regression von de Veaux, Richard D., Schumi, Jennifer, Schweinsberg, Jason, Ungar, Lyle H.

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EDITORIAL: RESEARCH ON DATA SCIENCE EDUCATION von BIEHLER, ROLF, DE VEAUX, RICHARD, ENGEL, JOACHIM, KAZAK, SIBEL, FRISCHEMEIER, DANIEL

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Mixtures of linear regressions von De Veaux, Richard D.

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A stochastic model relating rainfall intensity to raindrop processes von Smith, James A., De Veaux, Richard D.

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Finding Transformations for Regression Using the ACE Algorithm von DE VEAUX, RICHARD D.

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Data Mining in the Real World: Lessons Learned from the Mining Pit von De Veaux, R.D.

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ACE Guided-Transformation Method for Estimation of the Coefficient of Soil-Water Diffusivity von De Veaux, Richard D., Steele, J. Michael

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Robust estimation of a normal mixture von De Veaux, Richard D., Krieger, Abba M.

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Hybrid neural network models for environmental process control (The 1998 Hunter Lecture) von De Veaux, Richard D., Bain, Rod, Ungar, Lyle H.

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Discussion von De Veaux, Richard D., Ungar, Lyle H.

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[Neural Networks in Applied Statistics]: Discussion von de Veaux, Richard D., Ungar, Lyle H.

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[Neural Networks in Applied Statistics]: Discussion von de Veaux, Richard D., Ungar, Lyle H.

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Discussion von De Veaux, Richard D., Ungar, Lyle H.

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