**Publications**

__Peer-reviewed outlets__

**2019**

1.
Douglas P. Wiens; 2019; Maximin Power Designs in Testing Lack of Fit;
*Journal of Statistical Planning and
Inference*, **199**, 311-317. With Matlab code.

**2018 **

2.
Rui Nie, Douglas P. Wiens, Zhichun Zhai; 2018; Minimax Robust
Active Learning for Approximately Specified Regression Models; *The Canadian Journal of Statistics*, special
issue on Big Data and Statistical Science (Editorial); **46**, 104-122. With Matlab
code.

3.
Douglas P. Wiens; 2018; I-Robust and D-Robust Designs on a
Finite Design Space; *Statistics and
Computing*, **28**, 241-258. With Matlab code.

**2017 **

4.
Rui Hu, Douglas P. Wiens; 2017; Robust
Discrimination Designs over Hellinger Neighbourhoods; *Annals of Statistics, ***45**,
1638-1663. With supplement.__ __

5.
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 **

6. 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**

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

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

**2014**

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

10. 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**

11. 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.

12.
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.

13.
Douglas P. Wiens; 2013; Designs for Weighted Least
Squares Regression, With Estimated Weights; *Statistics and Computing*, **23**,
391-401. With Matlab code.

14.
A. H. Welsh, Douglas P. Wiens; 2013; Robust Model-based Sampling Designs;
*Statistics and Computing*, **23**, 689-701. With Matlab and R code.

**2012**

15.
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**

16.
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**

17.
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.

18.
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**

19.
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.

20.
Douglas P. Wiens; 2009; Robust Discrimination Designs; *Journal
of the Royal Statistical Society (Series B),* **71**, 805 - 829. With Matlab code.

21.
Holger Dette, Douglas P. Wiens; 2009; Robust Designs for 3D Shape Analysis with Spherical
Harmonic Descriptors (incl. supplement); *Statistica Sinica,* **19**,
83-102 + supplement.* *

22.
Adeniyi Adewale, Douglas P. Wiens; 2009; Robust Designs for Misspecified Logistic Models;
*Journal of Statistical Planning and Inference,* **139**, 3-15*.
*Special Issue on "Metaheuristics, Combinatorial Optimization and
Design of Experiments". With Matlab code.

**2008**

23.
Holger Dette, Douglas P. Wiens; 2008; Robust Designs for Series Estimation; *Computational
Statistics & Data Analysis,* **52**, 4305-4324.

24.
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.

25.
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.

26.
Douglas P. Wiens, Xiaojian Xu; 2008; Robust Designs for One-Point
Extrapolation; *Journal of Statistical Planning and Inference*, **138**,
1319 - 1357.

27.
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**

28.
Adeniyi J. Adewale, Douglas P. Wiens; 2006; New Criteria for Robust Integer-Valued Designs in
Linear Models; *Computational Statistics & Data Analysis*, **51**,
723-736.

29.
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.

30.
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.

31.
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**

32.
Douglas P. Wiens; 2005; Robustness in Spatial Studies I: Minimax
Prediction; *Environmetrics*, **16**, 191-203.

33.
Douglas P. Wiens; 2005; Robustness
in Spatial Studies II: Minimax Design; *Environmetrics*, **16**,
205-217.

34.
Douglas P. Wiens; 2005; Robust
Allocation Schemes for Clinical Trials With Prognostic Factors; *Journal
of Statistical Planning and Inference*, **127**, 323-340.

**2004**

35.
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.

36.
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**

37.
Zhide Fang, Douglas P. Wiens; 2003; Robust Regression Designs for Approximate Polynomial
Models; *Journal of Statistical Planning and Inference*, **117**,
305 - 321. Accompanying software.

38.
Alwell J. Oyet, Douglas P. Wiens; 2003; On Exact Minimax Wavelet Designs
Obtained by Simulated Annealing; *Statistics and Probability Letters*,
**61**, 111-121.

39.
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.

40.
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**

41.
Sanjoy Sinha, Douglas P. Wiens; 2002; Robust Sequential Designs for Nonlinear Regression;
*The Canadian Journal of Statistics*, **30**, 601-618.

42.
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**

43.
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.

44.
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**

45.
Alwell J. Oyet, Douglas P. Wiens; 2000; Robust Designs for Wavelet Approximations of Regression
Models; *Journal of Nonparametric Statistics*, **12**, 837-859.

46.
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.

47.
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.

48.
Zhiyi Du, Douglas P. Wiens; 2000; Jackknifing,
Weighting, Diagnostics and Variance Estimation in Generalized M-Estimation;
*Statistics and Probability Letters*, **46**, 287-299.

**1999**

49.
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.

50.
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**

51.
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.

52.
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**

53.
Shawn X. Liu, Douglas P. Wiens; 1997; Robust Designs for Approximately Polynomial Regression;
*Journal of Statistical Planning and Inference*, **64**, 369-381. With addendum.

54.
Douglas P. Wiens, Julie Zhou; 1997; Robust Designs Based on the Infinitesimal
Approach; *Journal of the American Statistical Association*, **92**,
1503-1511.

**1996**

55.
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.

56.
Douglas Wiens, Julie Zhou; 1996; Minimax
Regression Designs for Approximately Linear Models With Autocorrelated Errors;
*Journal of Statistical Planning and Inference*, **55**, 95-106.

57.
Mike Bokalo, Stephen J. Titus, Douglas P. Wiens; 1996; Sampling With Partial Replacement Extended to
Include Growth Projections; *Forest**
Science*, **42**, 328-334.

58.
Douglas P. Wiens; 1996; Robust,
Sequential Designs for Approximately Linear Models; *The Canadian Journal
of Statistics*, **24**, 67-79.

**1994**

59.
Douglas Wiens, Julie Zhou; 1994; Bounded Influence Rank Estimation in the
Linear Model; *The Canadian Journal of Statistics*; **22**,
233-246.

60.
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.

61.
Douglas P. Wiens; 1994; Robust Designs for Approximately Linear
Regression: M-estimated Parameters; *Journal of Statistical Planning and
Inference*; **40**, 135-160.

**1993**

62.
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**

63.
Douglas P. Wiens; 1992; On
Moments of Quadratic Forms in Non-Spherically Distributed Variables; *Statistics*;
**23**, 265-270.

64.
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. With addendum.

65.
Yu Wang, Douglas Wiens; 1992; Optimal, Robust R-estimators and Test
Statistics in the Linear Model; *Statistics and Probability Letters*; **14**,
179-188.

66.
Douglas P. Wiens; 1992; Minimax
Designs for Approximately Linear Regression; *Journal of Statistical
Planning and Inference*; **31**, 353-371.

67.
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. With addendum.

**1991**

68.
Douglas P. Wiens; 1991; Designs
for Approximately Linear Regression:Two Optimality Properties of Uniform
Designs; *Statistics and Probability Letters*; **12**, 217-221.

69.
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.

70.
John W. Haines, Keith R. Thompson, Doug P. Wiens; 1991; The Detection of Coastal-Trapped Waves; *Journal
of Geophysical Research*, **96**, 2593-2597.

**1990**

71.
Douglas P. Wiens, K.H. Eden Wu; 1990; Asymptotic Minimax Properties of M-estimators
of Scale; *Statistics and Probability Letters*; **10**, 363-368.

72.
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.

73.
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.

74.
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**

75.
Douglas P. Wiens; 1989; On the
Busy Period Distribution of the M/G/2 Queueing System; *Journal of
Applied Probability*; **26**, 858 - 865.

76.
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. With addendum.

**1988**

77.
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**

78.
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.

79.
Subhash C. Kochar, Douglas P. Wiens; 1987; Partial Orderings of Life Distributions With
Respect to Their Aging Properties; *Naval Research Logistics*; **34**,
823-829.

80.
David Hamilton, Douglas Wiens; 1987; Correction Factors for F-ratios in Nonlinear
Regression; *Biometrika*; **74**, 423-425. With addendum.

**1986**

81.
Doug Wiens; 1986; Minimax
Variance M-estimators of Location in Kolmogorov Neighbourhoods; *The
Annals of Statistics*; **14**, 724-732.

82.
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**

83.
John R. Collins, Douglas P. Wiens; 1985; Minimax Variance M-estimators in
epsilon-contamination Models; *The Annals of Statistics*; **13**,
1078-1096.

84.
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.

85.
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.

86.
Doug Wiens; 1985; Ellipsoidal
Confidence Regions for a Normal Covariance Matrix; *Communications in
Statistics A*; **14**, 1405-1411.

87.
R. Dawson, G. Gabor, R. Nowakowski, D. Wiens; 1985; Random Fibonacci-type Sequences; *Fibonacci
Quarterly*; **23**, 169-176.

**1983**

88.
D.P. Wiens; 1983; Some Distributions
for a 2-Identical Unit System; *Math. Operationforsch. U. Statist., Ser.
Optimization*; **14**, 607-616.

**1981**

89.
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**

90.
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.

__Conference Proceedings__

91.
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 80^{th} birthday.

92.
Linglong
Kong, Douglas P. Wiens; 2015; Nonlinear Quantile
Regression Design; *JSM Proceedings*;
Alexandria, VA: American Statistical Association, 3602-3609.

93.
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.

94.
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.

95.
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.

96.
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.

97.
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 Chapters__

98.
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.

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

100. 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.

__Book Reviews__

101.
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 progess/Submitted to refereed outlets__

102. Douglas P. Wiens; 2020; Robust Designs for Dose-Response Studies: Model and Labelling Robustness. With appendices and Matlab code.

103.
Jes**ú**s L**ó**pez Fidalgo, Douglas P. Wiens; 2020**;** Robust Learning for
Classification. With supplement
and Matlab code.

104.
Selvakkadunko Selvaratnam, Linglong Kong, Douglas P.
Wiens; 2020; Model-Robust
Designs for Nonlinear Quantile Regression. * *With
supplement and Matlab code.

__Future directions?__** **Work that was started but for one reason or another was never completed,
or was merely contemplated. Let me know if any of this interests you.

105. Minimax Prediction Designs, Robust Against Misspecified Response and Error Structures.

106. Robust Design for Clinical Trials.

107. Maximum Entropy Designs.

108. Robust Bayesian Design.

109. Cluster, Don’t Replicate.

110. Design and M-estimation.

111. Minimax Efficient Bounded Bias Designs. An interesting problem with an uneventful solution.

__Miscellany__

112.
Doug
Wiens; Feb 12 2020; The Globe
and Mail; ‘Justice Done?’ - letter to the Editor.

113.
Doug
Wiens; May 24 2019; Edmonton
Journal; letter to the Editor.

114.
Douglas
P. Wiens; July 17 2017; The Globe and Mail;
letter to the Editor.

115.
Alexander
Donev, Jesús López-Fidalgo,
Douglas P. Wiens; 2017; Editorial
to the Computational Statistics & Data Analysis Special Issue on
Design of Experiments.

116.
Douglas
P. Wiens; May 2015 Liaison announcement re the winner of the CRM-SSC Prize.

117.
Douglas
P. Wiens; February 19 2013; Edmonton
Journal; letter to the Editor

118.
Douglas
P. Wiens; October 24 2012; The Globe
and Mail; letter to the Editor.

119.
Doug Wiens; March 6 2010; National
Post: Sage pronouncements that only a statistician could make.

120.
Douglas P. Wiens; 2004; Editorial,*
The Canadian Journal of Statistics*; **32**, 1-2 and Editor's Reports for
2005, 2006,
2007.

121.
Doug Wiens; 2006; CJS: Coming Attractions, *Liaison*;
20.1, 20.2, 20.3, 20.4.

122.
Doug Wiens; 2005; CJS: Coming Attractions, *Liaison*;
19.1, 19.2, 19.4.

123.
Doug Wiens; 2004; CJS: Coming Attractions, *Liaison*;
18.2, 18.3, 18.4.

124.
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*

125.
Douglas P. Wiens; 2003; Optimal
Robust Methods for Prediction and Design in Spatial Studies, *University
of * #03.03.

126.
D. P. Wiens; 2003; Program,*
2003 Annual SSC Meeting*.

127.
D. P. Wiens; 2002; Letter to
the Editor,* IMS Bulletin*; **31**, 9.

128.
Douglas P. Wiens; 2000; Designs for Clinical Trials,* * #00.06.

129.
Douglas P. Wiens et al.
Numerous other technical reports.

__Class Lecture Notes____ __

130.
Douglas P. Wiens; 2009 - present; STAT 312, Mathematical
Methods in Statistics.

131.
Douglas P. Wiens; 2005 - present; STAT 368/501, Introduction
to Design and Analysis of Experiments.

132.
Douglas P. Wiens; 2002 - present; STAT 479/503, Time
Series Analysis I.

133.
Douglas P. Wiens; 2002 - present; STAT 512, Techniques
of Mathematics for Statistics.

134.
Douglas P. Wiens; 2012 - present; STAT 568, Design and
Analysis of Experiments.

135.
Douglas P. Wiens; 2011 - present; STAT 575, Multivariate
Analysis.

136.
Douglas P. Wiens; 2007 - present; STAT 578, Regression
Analysis with Appendix.

137.
Douglas P. Wiens; 2002 - present; STAT 665, Asymptotic
Methods in Statistical Inference.

138.
Douglas P. Wiens; 2009 - present; STAT 679, Time Series
Analysis II.

139.
Douglas P. Wiens; 2010 - present; STAT 766, Seminar Series in Robustness.

__Graduate theses__

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

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

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

__Graduate theses and projects supervised__

143.
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.*

144.
Nadezda Frolova; 2016; M.Sc. thesis (co-supervised, with Ivor Cribben); *Estimation of Extreme
Value Dependence: Application to Australian Spot Electricity Prices*.

145.
Rui
Hu; 2016; Ph.D. thesis; *Robust Designs for Model Discrimination and
Prediction of a Threshold Probability.*

146.
Rui
Nie; 2015; M.Sc. thesis; *Robust Active Learning*.

147.
Fiaz
Amber; 2015; M.Sc. project; *A Statistical
Analysis for Genes and Environmental Factors Involved in Blood Pressure
Variation.*

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

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

150.
Xiaozhou
Wang; 2014; M.Sc. thesis; *V-Robust Designs
for AR(1) Processes*.

151.
Dengdeng
Yu; 2013; M.Sc. thesis; *Comparison of Three
Methods of Generating Robust Statistical Designs*.

152.
Maryam
Daemi; 2012; M.Sc. thesis; *Minimax Design for
Approximate Straight Line Regression*.

153.
Jamil Karami; 2011; M.Sc. thesis; *Designs for
Nonlinear Regression With a Prior on the Parameters*.

154.
Kate Yaraee; 2011; M.Sc. thesis; *Functional Data
Analysis With Application to MS and Cervical Vertebrae Data*.

155.
Xiao Guo; 2011; M.Sc. project; *Longitudinal
Data Analysis in Social Science Data*.

156.
Ya Meng; 2011; M.Sc.thesis; *An Application of
Gene Set Analysis for a Comparison of Two Groups.*

157.
M. Wang; 2006; M.Sc. project; *A Comparative
Study of Robust Regression Designs.*

158.
A. Adewale; 2006; Ph.D. thesis; *Robust Integer-Valued Designs for
Generalized Linear Models.*

159.
X. Xu; 2006; Ph.D. thesis; *Robust Prediction and Extrapolation Designs,
with Applications to Accelerated Life Testing.*

160.
D. Metes; 2005; Summer NSERC student report; *Visual, Unit Root and Stationarity Tests
and Their Power and Accuracy.*

161.
F. Ackah; 2004; M.Sc. project; *Robust Assignment
Probabilities for Clinical Trials.*

162.
J. Baser; 2003; M.Sc. project; *A Kalman Filter Analysis
of Particulate Matter Using an AR(1) Model.*

163.
A. Adewale; 2002; M.Sc. thesis; *Robust Designs for Approximate
Regression Models with Two Interacting Regressors.*

164.
S. Hossain; 2002; M.Sc. project; *Implementation of
Robust Designs for Straight Line Regression.*

165.
X. Wu; 2000; M.Sc. project; *A Comparative Study of
Various Allocation Schemes in a Clinical Trial.*

166.
Z. Fang; 1999; Ph.D. thesis; *Robust Extrapolation Designs for Linear
Models.*

167.
Q. Wang; 1999; M.Sc. thesis; *Approximations to
the Distributions of Some Robust Test Statistics.*

168.
G. Heo; 1998; Ph.D. thesis; *Optimal Designs for Approximately Polynomial
Regression Models.*

169.
J. O'Connor; 1998; M.Sc. project; *An Analysis of Hearing
Loss in Goldminers.*

170.
A. Oyet; 1997; Ph.D. thesis; *Robust Designs for Wavelet Approximations
of Nonlinear Models.*

171.
J. Zhou; 1995; Ph.D. thesis; *Robust Experimental Designs for Linear Models.*

172.
Z. Du; 1995; M.Sc. thesis; *Jackknife Methods in Robust
Regression.*

173.
J. Zhou; 1992; M.Sc. thesis; *Bounded Influence
R-estimators in the Linear Model.*

174.
T. Feng; 1992; M.Sc. project; *An Analysis of
Geographical Data.*

175.
T. Leung; 1992; M.Sc. project; *Using Measurement Error
Models to Study the Shelter Effect.*

176.
H. Van Nguyen; 1992; M.Sc. project; *Application of Some
Multivariate Techniques in Analysing Biological Data.*

177.
Y. Wang; 1992; M.Sc. thesis; *Optimal Robust
Rank-Based Estimators in the Linear Model.*

178.
E. Wu; 1990; Ph.D. thesis; *Asymptotic Minimax Properties of M-estimators
of Scale.*

__Recreational Statistics/Probability/Mathematics problems solved__

179. 2003, Problem 02.3.2: Badly Weighted Least
Squares; *Econometric Theory*; 19, 701-703.

180.
2003, Problem 02.1.2: A
Particular Symmetric Idempotent Matrix; *Econometric Theory*; 19,
227-228.

181.
2000, Problem 17: Chance
of Having a Saddlepoint; *Chance*; 13, 54-55.

182.
1992, Problem E3386: The
Longest Expected World Series; *American Mathematical Monthly*; 99,
272-274.

183.
1988, Problem 6524: An
Alternating Sum of Products of Beta Random Variables; *American
Mathematical Monthly*; 95, 562-564.

184.
1988, Problem 6522: Persistence
of a Distribution Function; *American Mathematical Monthly*; 95,
360-362 .

185.
1985, Problem 266: Numbers
Which Equal Their Logarithms; *The College Mathematics Journal*; 16,
311.