Los Alamos National Laboratory

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James G. Wendelberger

James Wendelberger

Email
Phone (505) 665-1343

Capabilities

  • Computational Physics and Applied Mathematics
  • Statistics
  • Uncertainty quantification
  • Uncertainty analysis
  • Materials
  • Radiological materials
  • Plutonium chemistry
  • Radiation detectors
  • Nanotechnology
  • Superconductivity
  • Nanoscale (in time and space) spectroscopies
  • CINT
  • Fabrication
  • Theory Analysis: visualization and data reduction

Expertise

Research and consulting for the proper use of statistical and quantitative analysis on scientific and real world problems. Nanoscience and microsystems engineering for nanoscale materials.

Education

PhD: Statistics, Minor Mathematics

MS: Statistics

BS: Physics and Mathematics

PhD in progress: NanoScience and MicroSystems Engineering

 

LANL Positions

Scientist (2016 - present): Statistical Science.

Scientist (2013 - 2016): Nuclear Material Control and Accountability.

Guest Scientist (Pre 2013)

 

Professional Societies

American Association for the Advancement of Science

American Chemical Society

American Physical Society

American Society of Quality Control

American Statistical Association

Institute of Nuclear Material Management

The Mathematical Association of America

Society of the Sigma-Xi

 

Awards

American Statistical Association, License Accredited Professional Statistician™

B.S. with distinction

 

Patents

“SYSTEM AND METHOD FOR DETERMINING A GROUPING OF SEGMENTS WITHIN A MARKET”, Serial No. 12/027,582, Filed February 7, 2008.

 

Publications

Dataset Quality Assessment for Business Analytics Use

 

From Spline Smoothing to Quantum Information and Beyond

 

Agent Based Model and Statistical Engineering of Automobile Purchase Behavior and Retail Actions

 

James G. Wendelberger (2012): “Effectiveness of Automobile Salesperson Training,” Proceedings of the Joint Meetings of the American Statistical Association, July, San Diego, CA.

James G. Wendelberger (2011): “Statistical Engineering as Practiced at Urban Science,Proceedings of the Joint Meetings of the American Statistical Association, July, Miami Beach, FL.

James G. Wendelberger (2009): Daily Gasoline Prices, Stock Market Indices, Consumer Internet Hits, Automobile Incentives and Automobile Sales, For the Forecasting Of Future Month Automobile Model Demand,Proceedings of the Joint Meetings of the American Statistical Association, August, Washington D.C.

James G. Wendelberger (1998): The Estimation of Rainfall Distribution for Emergency Response to Chernobyl Type Incidents Utilizing Multidimensional Smoothing Splines, Journal of Geographic Information and Decision Analysis, Vol. 2, No. 2.

J. Wendelberger (1987a): Surface Representation from Measurements: Paint Attribute Data, Department of Mathematics, General Motors Research Laboratories Report.

J. Wendelberger (1987b): Multiple Minima of the Generalized Cross-Validation Function: Paint Attribute Data, Department of Mathematics, General Motors Research Laboratories Report.

 John K. Antonio, James G. Wendelberger, Greg P. Matthews, William G. Trabold, and Mark H. Costin (1986): “Optiscan: The Use of Reflectometry for Detecting Quality Attributes of Basecoat Paint,” General Motors Research Laboratories, Warren, MI, Research Report No. ET-426/MA-357, Dec., 31 pages.

James G. Wendelberger and Michael A. Wincek (1986): “The Selection of a Statistical Data Analysis Computing Environment for an Industrial Research Laboratory,” Computer Science and Statistics: Proceedings of the 18th Symposium on the Interface, American Statistical Association, Washington, D.C.

James G. Wendelberger et al (1982):  “Improving Statistical Consulting Services,”  Proceedings of the Wisconsin Workshop on Consulting Intern Programs in Statistics, University of Wisconsin, Nov. 11-13, pp. 131-137.

 James G. Wendelberger (1982): “Smoothing Noisy Data with Multidimensional Splines and Generalized Cross Validation,” Ph.D. Thesis, Department of Statistics, University of Wisconsin, 336pp.

 James G. Wendelberger (1982): “Estimation of Divergence and Vorticity using Multidimensional Smoothing Splines,” Proceedings of the NASA Workshop on Density Estimation and Function Smoothing, Department of Mathematics, Texas A&M University, pp. 386-406.

 James G. Wendelberger (1981): “The Computation of Laplacian Smoothing Splines with Examples,” Tech. Report No. 648, Department of Statistics, University of Wisconsin.

 Grace Wahba and Wendelberger, James G. (1980): “Some New Mathematical Methods for Variational Objective Analysis Using Splines and Generalized Cross Validation,” Monthly Weather Review, Volume 108, 8, 1122-1143

 

Documents and Files