1 | -- | 12 | Daniel Peña. A New Statistic for Influence in Linear Regression |
13 | -- | 22 | Brian D. Marx, Paul H. C. Eilers. Multidimensional Penalized Signal Regression |
23 | -- | 33 | Irwin Guttman, Daniel Peña, Dolores Redondas. A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree |
34 | -- | 42 | Qiqing Yu, George Y. C. Wong. Modified Semiparametric Maximum Likelihood Estimator in Linear Regression Analysis With Complete Data or Right-Censored Data |
43 | -- | 50 | David J. Olive, Douglas M. Hawkins. Variable Selection for 1D Regression Models |
51 | -- | 63 | Arden Miller. The Analysis of Unreplicated Factorial Experiments Using All Possible Comparisons |
64 | -- | 79 | Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden. ROBPCA: A New Approach to Robust Principal Component Analysis |
80 | -- | 91 | Christopher K. Wikle, L. Mark Berliner. Combining Information Across Spatial Scales |
92 | -- | 93 | Jim Rutherford. Planning, Construction, and Statistical Analysis of Comparative Experiments |
94 | -- | 0 | Weiming Ke. The Optimal Design of Blocked and Split-Plot Experiments |
94 | -- | 95 | Andrew M. Kuhn. Multivariate Statistical Methods in Quality Management |
95 | -- | 96 | Olcay Arslan. Measurement and Multivariate Analysis |
95 | -- | 0 | W. Michael Conklin. Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing |
96 | -- | 97 | Lianfen Qian. Statistical Curves and Parameters: Choosing an Appropriate Approach |
96 | -- | 0 | William L. Seaver. Random Graphs for Statistical Pattern Recognition |
97 | -- | 98 | Lawrence E. Barker. Logit Models From Economics and Other Fields |
97 | -- | 0 | Lorrie L. Hoffman, Elayne Reiss. Statistical Models |
98 | -- | 99 | Hoon Kim. A First Course in Statistical Methods |
99 | -- | 100 | Robert V. Brill. Basic Statistics and Data Analysis |
100 | -- | 0 | William A. Brenneman. Statistics for Research |
100 | -- | 0 | Bruce D. McCullough. Diagnostic Checks in Time Series |
100 | -- | 101 | Chunming Zhang. Ranked Set Sampling: Theory and Applications |
101 | -- | 0 | Nicholas Rose. Highly Structured Stochastic Systems |
101 | -- | 102 | Daniel Zelterman. Bayesian Artificial Intelligence |
102 | -- | 103 | Thomas D. Sandry. Applied Data Mining |
103 | -- | 104 | Donald E. Myers. Reliability and Statistics in Geotechnical Engineering |