May 2006

Volume 48 • Number 2

ARTICLES

• Tuning Variable Selection Procedures by Adding Noise (PDF, 459 KB)
  Luo, Xiaohui; Stefanski, Leonard A.; Boos, Dennis D.
• Smooth Isotonic Additive Interaction Models With Application to Computer System (PDF, 605 KB)
  Architecture Design
  Gluhovsky, Ilya
• LAGO A Computationally Efficient Approach for Statistical Detection (PDF, 606 KB)
  Zhu, Mu; Su, Wanhua; Chipman, Hugh A.
• Mixed Response Surface Models With Heterogeneous Within-Block Error Variances (PDF, 276 KB)
  Khuri, André I.
• A Bayesian Approach to the Design and Analysis of Fractionated Experiments (PDF, 319 KB)
  Joseph, V. Roshan
• Empirical Bayesian Analysis for High-Dimensional Computer Output (PDF, 375 KB)
  Drignei, Dorin
• Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models (PDF, 471 KB)
  Gelman, Andrew; Pardoe, Iain
• Detection and Location of Gamma-Ray Sources With a Modulating Coded Mask (PDF, 1440 KB)
  Anderson, Dale N.; Stromswold, David C.; Wunschel, Sharon C.; Peurrung, Anthony J.; Hansen, Randy R.
• Pitting Corrosion Comparison of Treatments With Extreme-Value–Distributed Responses (PDF, 1056 KB)
  Fougères, A.L.; Holm, S.; Rootzén, H.
• SELC Sequential Elimination of Level Combinations by Means of Modified Genetic Algorithms (PDF, 357 KB)
  Mandal, Abhyuday; Jeff Wu, C.F.; Johnson, Kjell
• Designs for Generalized Linear Models With Several Variables and Model Uncertainty (PDF, 314 KB)
  Woods, D.C.; Lewis, S.M.; Eccleston, J.A.; Russell, K.G.
• Combining Data in Small Multiple-Method Studies (PDF, 259 KB)
  Hagwood, Charles; Guthrie, William

BOOK REVIEWS

• Statistics for Experimenters Design, Innovation and Discovery (2nd ed.), by George E. P. Box, J. Stuart Hunter, and William G. Hunter(PDF, 92 KB)
  Pigeon, Joseph G.
• Experimental Design for Formulation, by Wendell F. Smith (PDF, 83 KB)
  Goldfarb, Heidi B.
• Design of Experiments for Engineers and Scientists, by Jiju Antony (PDF, 94 KB)
  Ruiz Espejo, Mariano
• Design and Analysis of Gauge R&R Studies, by Richard K. Burdick, Connie M. Borror, and Douglas C. Montgomery(PDF, 84 KB)
  Mazu, Michael J.
• Six Sigma for Dummies®, by Craig Gygi, Neil DeCarlo, and Bruce Williams (PDF, 113 KB)
  Kalemkarian, George S.
• The Six Sigma Practitioner's Guide to Data Analysis, by Donald J. Wheeler (PDF, 102 KB)
  Rumpf, David
• Applied Data Analysis for Process Improvement, by James L. Lamprecht (PDF, 114 KB)
  Cahya, Suntara
• The Analysis of Means A Graphical Method for Comparing Means, Rates, and Proportions, by Peter R. Nelson, Peter S. Wludyka, and Karen A. F. Copeland (PDF, 85 KB)
  Ruiz Espejo, Mariano
• Using R for Introductory Statistics, by John Verzani (PDF, 605 KB)
  Smith, Eric P.
• Statistics An Introduction Using R, by Michael J. Crawley (PDF, 100 KB)
  Ng, H. K. Tony
• R Graphics, by Paul Murrell (PDF, 113 KB)
  Gunter, Berton H.
• Computational Statistics, by Geof H. Givens and Jennifer A. Hoeting (PDF, 115 KB)
  Owen, William Jason
• Data Analysis of Asymmetric Structures Advanced Approaches in Computational Statistics, by Takayuki Saito and Hiroshi Yadohisa (PDF, 115 KB)
  Marchette, David J.
• Exploratory Data Analysis With MATLAB®, by Wendy L. Martinez and Angel R. Martinez (PDF, 86 KB)
  Kushler, Robert H.
• Analysis of Clinical Trials Using SAS® A Practical Guide, by Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, and Walter Offen (PDF, 86 KB)
  Chiang, Alan Y.
• Statistical Engineering An Algorithm for Reducing Variation in Manufacturing Processes, by Stefan H. Steiner and R. Jock Mackay (PDF, 84 KB)
  McCool, John I.
• Image Processing and Jump Regression Analysis, by Peihua Qiu (PDF, 114 KB)
  Lordo, Robert A.
• Functional Data Analysis (2nd ed.), by J. O. Ramsay and B. W. Silverman; S+Functional Data Analysis User's Guide, by Douglas B. Clarkson, Chris Fraley, and Charles C. Gu (PDF, 86 KB)
• The Basics of S–Plus (4th ed.), by Andreas Krause and Melvin Olson (PDF, 87 KB)
• Introduction to Statistics Through Resampling Methods and R/S–PLUS®, by Phillip I. Good (PDF, 87 KB)
• A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics (2nd ed.), by Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski; JMP® for Basic Univariate and Multivariate Statistics, by Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward J. Stepanski (PDF, 87 KB)
• Handbook of Statistics 24 Data Mining and Data Visualization, edited by C. R. Rao, Edward Wegman, and Jeffrey Solka (PDF, 99 KB)
• Statistics for Fission Track Analysis, by Rex F. Galbraith (PDF, 85 KB)
• Applied Optimal Designs, edited by Martijn P. F. Berger and Weng Kee Wong (PDF, 85 KB)
• Statistical Models Theory and Practice, by David A. Freedman (PDF, 85KB)
• What Is Six Sigma Process Management?, by Rowland Hayler and Michael Nichols (PDF, 97 KB)
• Analysis of Financial Time Series (2nd ed.), by Ruey S. Tsay (PDF, 86 KB)
• Statistical Thinking in Business (2nd ed.), by J. A. John, D. Whitaker, and D. G. Johnson (PDF, 86 KB)
• Epidemiology Study Design and Data Analysis (2nd ed.), by Mark Woodward (PDF, 93 KB)
• Survival Analysis A Self-Learning Text (2nd ed.), by David G. Kleinbaum and Mitchel Klein (PDF, 81 KB)
• Loss Models From Data to Decisions (2nd ed.) (PDF, 81 KB)
  Stuart A. Klugman, Harry H. Panjer, and Gordon E. Willmot