Publications


Peer-reviewed outlets  

In Press

1. Rui Nie, Douglas P. Wiens, Zhichun Zhai; 2017; Minimax Robust Active Learning for Approximately Specified Regression Models; The Canadian Journal of Statistics, special issue on Big Data and Statistical Science. With Matlab code.

2. Douglas P. Wiens; 2017; I-Robust and D-Robust Designs on a Finite Design Space; Statistics and Computing. With Matlab code.

2017   

3. Rui Hu, Douglas P. Wiens; 2017; Robust Discrimination Designs over Hellinger Neighbourhoods; Annals of Statistics, 45, 1638-1663. With supplement.

4. Jacob M. Maronge, Yi Zhai, Douglas P. Wiens, Zhide Fang; 2017; Optimal Designs for Spline Wavelet Regression Models; Journal of Statistical Planning and Inference, 184, 94-104. With Matlab code.

2016   

5. Yassir Rabhi, Douglas P. Wiens; 2016; Robust Sampling Designs for a Possibly Misspecified Stochastic Process; Statistica Sinica, 26, 1525-1542. With supplementary material and Matlab code.

2015

6. Zhichun Zhai, Douglas P. Wiens; 2015; Robust Model-Based Stratified Sampling Designs; The Canadian Journal of Statistics, 43, 554-577.

7. Linglong Kong, Douglas P. Wiens; 2015; Model-Robust Designs for Quantile Regression; Journal of the American Statistical Association, 110, 233-245. With accompanying technical report and Matlab code.

2014

8. Douglas P. Wiens, Pengfei Li; 2014; V-optimal Designs for Heteroscedastic Regression; Journal of Statistical Planning and Inference, 145, 125-138. With Matlab code.

9. Jamil Hasan Karami, Douglas P. Wiens; 2014; Robust Static Designs for Approximately Specified Nonlinear Regression Models; Journal of Statistical Planning and Inference, 144, 55-62. With R code.

2013

10. Maryam Daemi, Douglas P. Wiens; 2013; Techniques for the Construction of Robust Regression Designs; The Canadian Journal of Statistics, 41, 679-695. With Matlab code.

11. John C. Lind, Douglas P. Wiens, Victor J. Yohai; 2013; Robust Minimum Information Loss Estimation; Computational Statistics & Data Analysis.  Special Issue on “Robust Analysis of Complex Data”, 65, 98-112. With Matlab and R code.

12. Douglas P. Wiens; 2013; Designs for Weighted Least Squares Regression, With Estimated Weights; Statistics and Computing, 23, 391-401. With Matlab code.

13. A. H. Welsh, Douglas P. Wiens; 2013; Robust Model-based Sampling Designs; Statistics and Computing, 23, 689-701. With Matlab and R code.  

2012

14. Douglas P. Wiens, Pengfei Li; 2012; A Robust Treatment of a Dose-Response Study; Applied Stochastic Models in Business and Industry, 28, 164-173.   

2011

15. Pengfei Li, Douglas P. Wiens; 2011; Robustness of Design in Dose-Response Studies; Journal of the Royal Statistical Society (Series B), 17, 215-238. With Matlab code.

2010

16. Douglas P. Wiens; 2010; Robustness of Design for the Testing of Lack of Fit and for Estimation in Binary Response Models; Computational Statistics & Data Analysis, 54, 3371-3378.  Special Issue on “Model Selection and Robust Procedures”. With Matlab code.

17. Douglas P. Wiens, Eden K.H. Wu; 2010; A Comparative Study of Robust Designs for M-Estimated Regression Models; Computational Statistics & Data Analysis, 54, 1683-1695. With Matlab code.

2009

18. S. Huang, D. P. Wiens, Y. Yang, S. X. Meng, C. L. Vanderschaaf; 2009; Assessing the Impacts of Species Composition, Site Quality and Density on Individual Tree Height Prediction of Quaking Aspen in Boreal Mixedwoods; Forest Ecology and Management, 258, 1235-1247.

19. Douglas P. Wiens; 2009; Robust Discrimination Designs; Journal of the Royal Statistical Society (Series B), 71, 805 - 829. With Matlab code.

20. Holger Dette, Douglas P. Wiens; 2009; Robust Designs for 3D Shape Analysis with Spherical Harmonic Descriptors (incl. supplement); Statistica Sinica, 19, 83-102 + supplement. 

21. Adeniyi Adewale, Douglas P. Wiens; 2009; Robust Designs for Misspecified Logistic Models; Journal of Statistical Planning and Inference, 139, 3-15Special Issue on "Metaheuristics, Combinatorial Optimization and Design of Experiments". With Matlab code.

2008

22. Holger Dette, Douglas P. Wiens; 2008; Robust Designs for Series Estimation; Computational Statistics & Data Analysis, 52, 4305-4324.

23. Douglas P. Wiens, Xiaojian Xu; 2008; Robust Prediction and Extrapolation Designs for Misspecified Generalized Linear Regression Models; Journal of Statistical Planning and Inference, 138, 30-46.  Special Issue on "International Conference on Design of Experiments", U. Memphis, 2005.

24. Douglas P. Wiens, Julie Zhou; 2008; Robust Estimators and Designs for Field Experiments; Journal of Statistical Planning and Inference, 138, 93-104.  Special Issue on "International Conference on Design of Experiments", U. Memphis, 2005.

25. Douglas P. Wiens, Xiaojian Xu; 2008; Robust Designs for One-Point Extrapolation; Journal of Statistical Planning and Inference, 138, 1319 - 1357.

26. J. López-Fidalgo, R. Martín-Martín, Douglas P. Wiens; 2008; Marginally Restricted Sequential D-Optimal Designs; The Canadian Journal of Statistics, 36, 397 - 410.

2006

27. Adeniyi J. Adewale, Douglas P. Wiens; 2006; New Criteria for Robust Integer-Valued Designs in Linear Models; Computational Statistics & Data Analysis, 51, 723-736. With Matlab code.

28. Zhide Fang, Douglas P. Wiens, Zheyang Wu; 2006; Locally D-Optimal Designs for Multi-Stage Models and Heteroscedastic Polynomial Regression Models; Journal of Statistical Planning and Inference, 136, 4059-4070.

29. Yongge Tian, Douglas P. Wiens; 2006; On Equality and Proportionality of Ordinary Least Squares, Weighted Least Squares, and Best Linear Unbiased Estimators in the General Linear Model; Statistics and Probability Letters, 76, 1265-1272.

30. Douglas P. Wiens, Norman C. Beaulieu, Pavel Loskot; 2006; On the Exact Distribution of the Sum of the Largest n-k out of n Normal Random Variables with Differing Mean Values; Statistics, 40, 165-173. With software and addendum.

2005

31. Douglas P. Wiens; 2005; Robustness in Spatial Studies I: Minimax Prediction; Environmetrics, 16, 191-203.

32. Douglas P. Wiens; 2005; Robustness in Spatial Studies II: Minimax Design; Environmetrics, 16, 205-217.

33. Douglas P. Wiens; 2005; Robust Allocation Schemes for Clinical Trials With Prognostic Factors; Journal of Statistical Planning and Inference, 127, 323-340.

2004

34. Zhide Fang, Douglas P. Wiens; 2004; Bayesian Minimally Supported D-Optimal Designs for an Exponential Regression Model; Communications in Statistics, Theory and Methods, 33, 1187-1204.

35. Douglas P. Wiens; 2004; Match - A Software Package for Robust Profile Matching Using S-Plus; Journal of Statistical Software, Special Volume on Robustness, 10, 1-35.

2003

36. Zhide Fang, Douglas P. Wiens; 2003; Robust Regression Designs for Approximate Polynomial Models; Journal of Statistical Planning and Inference, 117, 305 - 321. Accompanying software.

37. Alwell J. Oyet, Douglas P. Wiens; 2003; On Exact Minimax Wavelet Designs Obtained by Simulated Annealing; Statistics and Probability Letters, 61, 111-121.

38. Sanjoy K. Sinha, Douglas P. Wiens; 2003; Asymptotics for Robust Sequential Designs in Misspecified Regression Models; Mathematical Statistics and Applications: Festschrift for Constance van Eeden, IMS Lecture Notes - Monograph Series, Eds. M. Moore, C. Léger and S. Froda, 233-248.

39. Douglas P. Wiens, Julian Cheng, Norman C. Beaulieu; 2003; A Class of Method of Moments Estimators for the Two-Parameter Gamma Family; Pakistan Journal of Statistics, 19, 129-141.

2002

40. Sanjoy Sinha, Douglas P. Wiens; 2002; Robust Sequential Designs for Nonlinear Regression; The Canadian Journal of Statistics, 30, 601-618.

41. Sanjoy Sinha, Douglas P. Wiens; 2002; Minimax Weights for Generalised M-Estimation in Biased Regression Models; The Canadian Journal of Statistics, 30, 401-414.

2001

42. Giseon Heo, Byron Schmuland, Douglas P. Wiens; 2001; Restricted Minimax Robust Designs for Misspecified Regression Models; The Canadian Journal of Statistics, 29, 117-128. With addendum.

43. D. Wiens, L.Z. Florence, M. Hiltz; 2001; Robust Estimation of Air-Borne Particulate Matter; Environmetrics, 12, 25-40. Accompanying manual and S-Plus code.

2000

44. Alwell J. Oyet, Douglas P. Wiens; 2000; Robust Designs for Wavelet Approximations of Regression Models; Journal of Nonparametric Statistics, 12, 837-859.

45. Zhide Fang, Douglas P. Wiens; 2000; Integer-Valued, Minimax Robust Designs for Estimation and Extrapolation in Heteroscedastic, Approximately Linear Models; Journal of the American Statistical Association, 95, 807-818.

46. Douglas P. Wiens; 2000; Robust Weights and Designs for Biased Regression Models: Least Squares and Generalized M-estimation; Journal of Statistical Planning and Inference, 83, 395-412.

47. Zhiyi Du, Douglas P. Wiens; 2000; Jackknifing, Weighting, Diagnostics and Variance Estimation in Generalized M-Estimation; Statistics and Probability Letters, 46, 287-299.

1999

48. Zhide Fang, Douglas P. Wiens; 1999; Robust Extrapolation Designs and Weights for Biased Regression Models With Heteroscedastic Errors; The Canadian Journal of Statistics, 27, 751-770.

49. Douglas P. Wiens, Julie Zhou; 1999; Minimax Designs for Approximately Linear Models With AR(1) Errors; The Canadian Journal of Statistics, 27, 781-794.

1998

50. Douglas P. Wiens; 1998; Minimax Robust Designs and Weights for Approximately Specified Regression Models With Heteroscedastic Errors; Journal of the American Statistical Association, 93, 1440-1450.

51. Douglas P. Wiens, Eden K.H. Wu, Julie Zhou; 1998; On the Trimmed Mean and Minimax Variance L-estimation in Kolmogorov Neighbourhoods; The Canadian Journal of Statistics, 26, 231-238.

1997

52. Shawn X. Liu, Douglas P. Wiens; 1997; Robust Designs for Approximately Polynomial Regression; Journal of Statistical Planning and Inference, 64, 369-381. With addendum.

53. Douglas P. Wiens, Julie Zhou; 1997; Robust Designs Based on the Infinitesimal Approach; Journal of the American Statistical Association, 92, 1503-1511.

1996

54. Douglas P. Wiens; 1996; Asymptotics of Generalized M-estimation of Regression and Scale With Fixed Carriers, in an Approximately Linear Model; Statistics and Probability Letters, 30, 271-285.

55. Douglas Wiens, Julie Zhou; 1996; Minimax Regression Designs for Approximately Linear Models With Autocorrelated Errors; Journal of Statistical Planning and Inference, 55, 95-106.

56. Mike Bokalo, Stephen J. Titus, Douglas P. Wiens; 1996; Sampling With Partial Replacement Extended to Include Growth Projections; Forest Science, 42, 328-334.

57. Douglas P. Wiens; 1996; Robust, Sequential Designs for Approximately Linear Models; The Canadian Journal of Statistics, 24, 67-79.

1994

58. Douglas Wiens, Julie Zhou; 1994; Bounded Influence Rank Estimation in the Linear Model; The Canadian Journal of Statistics; 22, 233-246.

59. C.A. Field, Douglas P. Wiens; 1994; One-step M-estimators in the Linear Model, With Dependent Errors; The Canadian Journal of Statistics; 22, 219-232. With addendum.

60. Douglas P. Wiens; 1994; Robust Designs for Approximately Linear Regression: M-estimated Parameters; Journal of Statistical Planning and Inference; 40, 135-160.

1993

61. Douglas P. Wiens; 1993; Designs for Approximately Linear Regression: Maximizing the Minimum Coverage Probability of Confidence Ellipsoids; The Canadian Journal of Statistics; 21, 59-70.

1992

62. Douglas P. Wiens; 1992; On Moments of Quadratic Forms in Non-Spherically Distributed Variables; Statistics; 23, 265-270.

63. Shongming Huang, Stephen J. Titus, Douglas P. Wiens; 1992; Comparisons of Nonlinear Height-Diameter Functions for Major Alberta Species; Canadian Journal of Forest Research; 22, 1297-1304.

64. Yu Wang, Douglas Wiens; 1992; Optimal, Robust R-estimators and Test Statistics in the Linear Model; Statistics and Probability Letters; 14, 179-188.

65. Douglas P. Wiens; 1992; Minimax Designs for Approximately Linear Regression; Journal of Statistical Planning and Inference; 31, 353-371.

66. Douglas P. Wiens; 1992; A Note on the Computation of Robust, Bounded Influence Estimates and Test Statistics in Regression; Computational Statistics & Data Analysis; 13, 211-220.

1991

67. Douglas P. Wiens; 1991; Designs for Approximately Linear Regression:Two Optimality Properties of Uniform Designs; Statistics and Probability Letters; 12, 217-221.

68. Douglas P. Wiens, K.H. Eden Wu; 1991; Distributions Minimizing Fisher Information for Scale in Kolmogorov Neighbourhoods; The Canadian Journal of Statistics; 19, 179-190.

69. John W. Haines, Keith R. Thompson, Doug P. Wiens; 1991; The Detection of Coastal-Trapped Waves; Journal of Geophysical Research, 96, 2593-2597.

1990

70. Douglas P. Wiens, K.H. Eden Wu; 1990; Asymptotic Minimax Properties of M-estimators of Scale; Statistics and Probability Letters; 10, 363-368.

71. M. Hlynka, J.N. Sheahan, D.P. Wiens; 1990; On the Choice of Support of Re-Descending Psi-Functions in Linear Models With Asymmetric Error Distributions; With addendum. Metrika; 37, 365-381.

72. Douglas P. Wiens; 1990; Robust, Minimax Designs for Multiple Linear Regression; Linear Algebra and Its Applications, Second Special Issue on Linear Algebra and Statistics; 127, 327 - 340.

73. Douglas P. Wiens; 1990; Minimax Variance L- and R- Estimators of Location; The Canadian Journal of Statistics; 18, 47 - 57.
Awarded the 1990 CJS Award.

1989

74. Douglas P. Wiens; 1989; On the Busy Period Distribution of the M/G/2 Queueing System; Journal of Applied Probability; 26, 858 - 865.

75. John Collins, Douglas Wiens; 1989; Minimax Properties of M-, R-, and L- estimators of Location in Lévy Neighbourhoods; The Annals of Statistics; 17, 327-336.

1988

76. Douglas Wiens; 1988; The Non-Null Distribution of the Beta Statistic in the Test of the Univariate General Linear Hypothesis, When the Error Distribution is Spherically Symmetric; Journal of Statistical Planning and Inference; 19, 245-252.

1987

77. Douglas P. Wiens; 1987; Robust Weighted Cramér-von Mises Estimators of Location, with Minimax Variance in epsilon-contamination Neighbourhoods; The Canadian Journal of Statistics; 15, 269-278.

78. Subhash C. Kochar, Douglas P. Wiens; 1987; Partial Orderings of Life Distributions With Respect to Their Aging Properties; Naval Research Logistics; 34, 823-829.

79. David Hamilton, Douglas Wiens; 1987; Correction Factors for F-ratios in Nonlinear Regression; Biometrika; 74, 423-425 and technical report.

1986

80. Doug Wiens; 1986; Minimax Variance M-estimators of Location in Kolmogorov Neighbourhoods; The Annals of Statistics; 14, 724-732.

81. D. P. Wiens, Z. Zheng; 1986; Robust M-estimators of Multivariate Location and Scatter in the Presence of Asymmetry; The Canadian Journal of Statistics; 14, 161-176.

1985

82. John R. Collins, Douglas P. Wiens; 1985; Minimax Variance M-estimators in epsilon-contamination Models; The Annals of Statistics; 13, 1078-1096.

83. Doug Wiens; 1985; Asymptotic Distribution of Some Multivariate “Success Run”' Renewal Processes, Applied to a 2-i.i.d. Unit Repairable System; Naval Research and Logistics Quarterly; 32, 589-593.

84. Douglas P. Wiens; 1985; On Some Pattern Reduction Matrices Which Appear in Statistics; Linear Algebra and its Applications, Special Issue on Linear Algebra and Statistics; 67, 233-258.

85. Doug Wiens; 1985; Ellipsoidal Confidence Regions for a Normal Covariance Matrix; Communications in Statistics A; 14, 1405-1411.

86. R. Dawson, G. Gabor, R. Nowakowski, D. Wiens; 1985; Random Fibonacci-type Sequences; Fibonacci Quarterly; 23, 169-176.

1983

87. D.P. Wiens; 1983; Some Distributions for a 2-Identical Unit System; Math. Operationforsch. U. Statist., Ser. Optimization; 14, 607-616.

1981

88. Doug Wiens; 1981; Analysis of a Hot-Standby System With 2 Identical Dependent Units and a General Erlang Failure Time Distribution; IEEE Transactions on Reliability; R30, p. 386 and Supplement.

1976

89. J.P. Jones, D. Sato, H. Wada, D. Wiens; 1976; Diophantine Representation of the Set of Prime Numbers; American Mathematical Monthly; 83, 449-464. Awarded the 1977 MAA Lester R. Ford Award.

Book Chapters

90. Douglas P. Wiens; 2015; Optimal Designs for Nonlinear and Spatial Models: Introduction and Historical Overview, Chapter 12 of Handbook of Design and Analysis of Experiments, Chapman & Hall/CRC.

91. Douglas P. Wiens; 2015; Robustness of Design, Chapter 20 of Handbook of Design and Analysis of Experiments, Chapman & Hall/CRC

92. Douglas P. Wiens; 2000; Bias Constrained Minimax Robust Designs for Misspecified Regression Models; Selected Proceedings of the Third St. Petersburg Workshop on Simulation; 117-133, Birkhauser, Boston.

Conference Proceedings

93. Doug Wiens; September 2017; presentation materials for the Second International Symposium on Magic Squares, Prime Numbers and Postage Stamps, in celebration of Emeritus Professor George P. H. Styan’s 80th birthday.

94. Linglong Kong, Douglas P. Wiens; 2015;

95. Douglas P. Wiens; 2009; Asymptotic Properties of a Neyman-Pearson Test for Model Discrimination, with an Application to Experimental Design;  Proceedings of the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, U. of North Carolina at Greensboro, October 12 - 14, 2007; Journal of Statistical Theory and Practice, 3, 419-427.

96. Oleg Michailovich, Douglas Wiens; 2007;  On Separation of Signal Sources using Kernel Estimates of Probability Densities; 7th International Conference on Independent Component Analysis and Signal Separation; London, UK, September 9-12, 2007.  In Independent Component Analysis and Signal Separation: Lecture Notes in Computer Science, Springer, pp. 81-88.

97. Julian Cheng, Douglas P. Wiens, Norman C. Beaulieu; 2003; An Asymptotic Study of Generalized Moment Estimators of the Nakagami Fading Parameters; The 2003 Canadian Workshop on Information Theory; Waterloo, Ontario, pp. 63-66, May 18-21, 2003.

98. Douglas P. Wiens; 2001; Robust Designs for Approximate Regression Models With Correlated Errors; 2002 Proceedings of the American Statistical Association, [CD-ROM], Alexandria, VA: American Statistical Association.

99. Douglas P. Wiens; 1998; Minimum Variance Unbiased Weights and Designs for Biased Regression Models; Proceedings of the Third St. Petersburg Workshop on Simulation; eds. S.M. Ermakov, Y.N. Kashtanov, V.B. Melas, St. Petersburg: St. Petersburg University Press, pp. 220-224.

Book Reviews

100. D. P. Wiens; 2001; Review of "Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy", by R.R. Wilcox; Biometrics; 57, 1275-1276.

In progress/Submitted to refereed outlets

101. Douglas P. Wiens; 2017; Minimax Prediction Designs, Robust Against Misspecified Response and Error Structures; in progress.

102. Douglas P. Wiens; 2017; Maximin Power Designs in Testing Lack of Fit. With Matlab code.

Miscellany

103. Douglas P. Wiens; July 17 2017; The Globe and Mail; letter to the Editor .

104. Alexander Donev, Jesús López-Fidalgo, Douglas P. Wiens; 2017; Editorial to the Computational Statistics & Data Analysis Special Issue on Design of Experiments.

105. Douglas P. Wiens; May 2015 Liaison announcement re the winner of the CRM-SSC Prize.

106. Linglong Kong, Douglas P. Wiens; University of Alberta Department of Mathematical and Statistical Sciences Technical Report S129, to accompany ‘Robust Designs for Quantile Regression’.

107. Douglas P. Wiens; February 19 2013; Edmonton Journal; letter to the Editor

108. Douglas P. Wiens; October 24 2012; The Globe and Mail; letter to the Editor.

109. Doug Wiens; March 6 2010; National Post: Sage pronouncements that only a statistician could make.

110. Douglas P. Wiens; 2004; Editorial, The Canadian Journal of Statistics; 32, 1-2 and Editor's Reports for 2005, 2006, 2007.

111. Doug Wiens; 2006; CJS: Coming Attractions, Liaison; 20.1, 20.2, 20.3, 20.4.

112. Doug Wiens; 2005; CJS: Coming Attractions, Liaison; 19.1, 19.2, 19.4.

113. Doug Wiens; 2004; CJS: Coming Attractions, Liaison; 18.2, 18.3, 18.4.

114. Y. Tian, D. P. Wiens; 2004; The Equalities of Ordinary Least Squares Estimators and Best Linear Unbiased Estimators for the Restricted Linear Model, University of Alberta Statistics Centre Technical Report Series; #04.05.

115. Douglas P. Wiens; 2003; Optimal Robust Methods for Prediction and Design in Spatial Studies, University of Alberta Statistics Centre Technical Report Series; #03.03.

116. D. P. Wiens; 2003; Program, 2003 Annual SSC Meeting.

117. D. P. Wiens; 2002; Letter to the Editor, IMS Bulletin; 31, 9.

118. Douglas P. Wiens; 2000; Designs for Clinical Trials, University of Alberta Statistics Centre Technical Report Series; #00.06.

119. Douglas P. Wiens et al.  Numerous other technical reports.

Class Lecture Notes

120. Douglas P. Wiens; 2009 - present; STAT 312, Mathematical Methods in Statistics.

121. Douglas P. Wiens; 2005 - present; STAT 368/501, Introduction to Design and Analysis of Experiments.

122. Douglas P. Wiens; 2002 - present; STAT 479/503, Time Series Analysis  I.

123. Douglas P. Wiens; 2002 - present; STAT 512, Techniques of Mathematics for Statistics.

124. Douglas P. Wiens; 2012 - present; STAT 568, Design and Analysis of Experiments.

125. Douglas P. Wiens; 2011 - present; STAT 575, Multivariate Analysis.

126. Douglas P. Wiens; 2007 - present; STAT 578, Regression Analysis with Appendix.

127. Douglas P. Wiens; 2002 - present; STAT 665, Asymptotic Methods in Statistical Inference.

128. Douglas P. Wiens; 2009 - present; STAT 679, Time Series Analysis II.

129. Douglas P. Wiens; 2010 - present; STAT 766, Seminar Series in Robustness.

Graduate theses

130. D. P. Wiens; 1982; Ph.D. (Statistics); Robust Estimation of Multivariate Location and Scale in the Presence of Asymmetry.

131. D. P. Wiens; 1979; M.Sc. (Statistics); Distributions for a Two-Unit Repairable System

132. D. P. Wiens; 1974; M.Sc. (Mathematical Logic); Diophantine Characterizations of the Perfect Numbers.

Graduate theses and projects supervised

133. Jiang Yin; 2017; M.Sc. project (co-supervised, with N.G.N. Prasad); Analysis of a Bladder Cancer Clinical Trial Using a Shared Frailty Model.

134. Nadezda Frolova; 2016; M.Sc. thesis (co-supervised, with Ivor Cribben); Estimation of Extreme Value Dependence: Application to Australian Spot Electricity Prices.

135. Rui Hu; 2016; Ph.D. thesis; Robust Designs for Model Discrimination and Prediction of a Threshold Probability.

136. Rui Nie; 2015; M.Sc. thesis; Robust Active Learning.

137. Fiaz Amber; 2015; M.Sc. project; A Statistical Analysis for Genes and Environmental Factors Involved in Blood Pressure Variation.

138. Rui Gao; 2014; M.Sc. project; A Study of Factors Which Affect Migration.

139. Zhichun Zhai; 2014; M.Sc. thesis; Robust Sampling Designs for Model-Based Stratification.

140. Xiaozhou Wang; 2014; M.Sc. thesis; V-Robust Designs for AR(1) Processes.

141. Dengdeng Yu; 2013; M.Sc. thesis; Comparison of Three Methods of Generating Robust Statistical Designs.

142. Maryam Daemi; 2012; M.Sc. thesis; Minimax Design for Approximate Straight Line Regression.

143. Jamil Karami; 2011; M.Sc. thesis; Designs for Nonlinear Regression With a Prior on the Parameters.

144. Kate Yaraee; 2011; M.Sc. thesis; Functional Data Analysis With Application to MS and Cervical Vertebrae Data.

145. Xiao Guo; 2011; M.Sc. project; Longitudinal Data Analysis in Social Science Data.

146. Ya Meng; 2011; M.Sc.thesis; An Application of Gene Set Analysis for a Comparison of Two Groups.

147. M. Wang; 2006; M.Sc. project; A Comparative Study of Robust Regression Designs.

148. A. Adewale; 2006; Ph.D. thesis; Robust Integer-Valued Designs for Generalized Linear Models.

149. X. Xu; 2006; Ph.D. thesis; Robust Prediction and Extrapolation Designs, with Applications to Accelerated Life Testing.

150. D. Metes; 2005; Summer NSERC student report; Visual, Unit Root and Stationarity Tests and Their Power and Accuracy.

151. F. Ackah; 2004; M.Sc. project; Robust Assignment Probabilities for Clinical Trials.

152. J. Baser; 2003; M.Sc. project; A Kalman Filter Analysis of Particulate Matter Using an AR(1) Model.

153. A. Adewale; 2002; M.Sc. thesis; Robust Designs for Approximate Regression Models with Two Interacting Regressors.

154. S. Hossain; 2002; M.Sc. project; Implementation of Robust Designs for Straight Line Regression.

155. X. Wu; 2000; M.Sc. project; A Comparative Study of Various Allocation Schemes in a Clinical Trial.

156. Z. Fang; 1999; Ph.D. thesis; Robust Extrapolation Designs for Linear Models.

157. Q. Wang; 1999; M.Sc. thesis; Approximations to the Distributions of Some Robust Test Statistics.

158. G. Heo; 1998; Ph.D. thesis; Optimal Designs for Approximately Polynomial Regression Models.

159. J. O'Connor; 1998; M.Sc. project; An Analysis of Hearing Loss in Goldminers.

160. A. Oyet; 1997; Ph.D. thesis; Robust Designs for Wavelet Approximations of Nonlinear Models.

161. J. Zhou; 1995; Ph.D. thesis; Robust Experimental Designs for Linear Models.

162. Z. Du; 1995; M.Sc. thesis; Jackknife Methods in Robust Regression.

163. J. Zhou; 1992; M.Sc. thesis; Bounded Influence R-estimators in the Linear Model.

164. T. Feng; 1992; M.Sc. project; An Analysis of Geographical Data.

165. T. Leung; 1992; M.Sc. project; Using Measurement Error Models to Study the Shelter Effect.

166. H. Van Nguyen; 1992; M.Sc. project; Application of Some Multivariate Techniques in Analysing Biological Data.

167. Y. Wang; 1992; M.Sc. thesis; Optimal Robust Rank-Based Estimators in the Linear Model.

168. E. Wu; 1990; Ph.D. thesis; Asymptotic Minimax Properties of M-estimators of Scale.

Recreational Statistics/Probability/Mathematics problems solved

169. 2003, Problem 02.3.2: Badly Weighted Least Squares; Econometric Theory; 19, 701-703.

170. 2003, Problem 02.1.2: A Particular Symmetric Idempotent Matrix; Econometric Theory; 19, 227-228.

171. 2000, Problem 17: Chance of Having a Saddlepoint; Chance; 13, 54-55.

172. 1992, Problem E3386: The Longest Expected World Series; American Mathematical Monthly; 99, 272-274.

173. 1988, Problem 6524: An Alternating Sum of Products of Beta Random Variables; American Mathematical Monthly; 95, 562-564.

174. 1988, Problem 6522: Persistence of a Distribution Function; American Mathematical Monthly; 95, 360-362 .

175. 1985, Problem 266: Numbers Which Equal Their Logarithms; The College Mathematics Journal; 16, 311.