**Publications**

__Peer-reviewed outlets____ ____ __

**In Press**

**2018 **

1.
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.

2.
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 **

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 addendum 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**, 3-15*.
*Special 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.

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.

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.

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. With addendum.

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. With addendum.

**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. With addendum.

**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. With addendum.

**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 80^{th} birthday.

94.
Linglong
Kong, Douglas P. Wiens; 2015; Nonlinear Quantile
Regression Design; *JSM Proceedings*;
Alexandria, VA: American Statistical Association, 3602-3609.

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; 2018; Maximin Power Designs in Testing Lack of Fit.
With Matlab code.

__Miscellany____ __

102.
Douglas
P. Wiens; July 17 2017; The Globe and Mail;
letter to the Editor .

103.
Alexander
Donev, Jesús López-Fidalgo,
Douglas P. Wiens; 2017; Editorial
to the Computational Statistics & Data Analysis Special Issue on Design of
Experiments.

104.
Douglas
P. Wiens; May 2015 Liaison announcement re the winner of the CRM-SSC Prize.

105.
Douglas
P. Wiens; February 19 2013; Edmonton
Journal; letter to the Editor

106.
Douglas
P. Wiens; October 24 2012; The Globe
and Mail; letter to the Editor.

107.
Doug Wiens; March 6 2010; National
Post: Sage pronouncements that only a statistician could make.

108.
Douglas P. Wiens; 2004; Editorial,*
The Canadian Journal of Statistics*; **32**, 1-2 and Editor's Reports for
2005, 2006,
2007.

109.
Doug Wiens; 2006; CJS: Coming Attractions, *Liaison*;
20.1, 20.2, 20.3, 20.4.

110.
Doug Wiens; 2005; CJS: Coming Attractions, *Liaison*;
19.1, 19.2, 19.4.

111.
Doug Wiens; 2004; CJS: Coming Attractions, *Liaison*;
18.2, 18.3, 18.4.

112.
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*

113.
Douglas P. Wiens; 2003; Optimal
Robust Methods for Prediction and Design in Spatial Studies, *University
of * #03.03.

114.
D. P. Wiens; 2003; Program,*
2003 Annual SSC Meeting*.

115.
D. P. Wiens; 2002; Letter to
the Editor,* IMS Bulletin*; **31**, 9.

116.
Douglas P. Wiens; 2000; Designs for Clinical Trials,* * #00.06.

117.
Douglas P. Wiens et al.
Numerous other technical reports.

__Class Lecture Notes____ __

118.
Douglas P. Wiens; 2009 - present; STAT 312, Mathematical
Methods in Statistics.

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

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

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

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

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

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

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

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

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

__Graduate theses__

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

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

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

__Graduate theses and projects supervised__

131.
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.*

132.
Nadezda Frolova; 2016; M.Sc. thesis (co-supervised, with Ivor Cribben); *Estimation of
Extreme Value Dependence: Application to Australian Spot Electricity Prices*.

133.
Rui
Hu; 2016; Ph.D. thesis; *Robust Designs for Model Discrimination and
Prediction of a Threshold Probability.*

134.
Rui
Nie; 2015; M.Sc. thesis; *Robust Active Learning*.

135.
Fiaz
Amber; 2015; M.Sc. project; *A Statistical
Analysis for Genes and Environmental Factors Involved in Blood Pressure
Variation.*

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

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

138.
Xiaozhou
Wang; 2014; M.Sc. thesis; *V-Robust Designs
for AR(1) Processes*.

139.
Dengdeng
Yu; 2013; M.Sc. thesis; *Comparison of Three
Methods of Generating Robust Statistical Designs*.

140.
Maryam
Daemi; 2012; M.Sc. thesis; *Minimax Design for
Approximate Straight Line Regression*.

141.
Jamil Karami; 2011; M.Sc. thesis; *Designs for
Nonlinear Regression With a Prior on the Parameters*.

142.
Kate Yaraee; 2011; M.Sc. thesis; *Functional Data
Analysis With Application to MS and Cervical Vertebrae Data*.

143.
Xiao Guo; 2011; M.Sc. project; *Longitudinal
Data Analysis in Social Science Data*.

144.
Ya Meng; 2011; M.Sc.thesis; *An Application of
Gene Set Analysis for a Comparison of Two Groups.*

145.
M. Wang; 2006; M.Sc. project; *A Comparative
Study of Robust Regression Designs.*

146.
A. Adewale; 2006; Ph.D. thesis; *Robust Integer-Valued Designs for
Generalized Linear Models.*

147.
X. Xu; 2006; Ph.D. thesis; *Robust Prediction and Extrapolation Designs,
with Applications to Accelerated Life Testing.*

148.
D. Metes; 2005; Summer NSERC student report; *Visual, Unit Root and Stationarity Tests
and Their Power and Accuracy.*

149.
F. Ackah; 2004; M.Sc. project; *Robust Assignment
Probabilities for Clinical Trials.*

150.
J. Baser; 2003; M.Sc. project; *A Kalman Filter Analysis
of Particulate Matter Using an AR(1) Model.*

151.
A. Adewale; 2002; M.Sc. thesis; *Robust Designs for
Approximate Regression Models with Two Interacting Regressors.*

152.
S. Hossain; 2002; M.Sc. project; *Implementation of
Robust Designs for Straight Line Regression.*

153.
X. Wu; 2000; M.Sc. project; *A Comparative Study of
Various Allocation Schemes in a Clinical Trial.*

154.
Z. Fang; 1999; Ph.D. thesis; *Robust Extrapolation Designs for Linear
Models.*

155.
Q. Wang; 1999; M.Sc. thesis; *Approximations to
the Distributions of Some Robust Test Statistics.*

156.
G. Heo; 1998; Ph.D. thesis; *Optimal Designs for Approximately Polynomial
Regression Models.*

157.
J. O'Connor; 1998; M.Sc. project; *An Analysis of Hearing
Loss in Goldminers.*

158.
A. Oyet; 1997; Ph.D. thesis; *Robust Designs for Wavelet Approximations
of Nonlinear Models.*

159.
J. Zhou; 1995; Ph.D. thesis; *Robust Experimental Designs for Linear Models.*

160.
Z. Du; 1995; M.Sc. thesis; *Jackknife Methods in Robust
Regression.*

161.
J. Zhou; 1992; M.Sc. thesis; *Bounded Influence
R-estimators in the Linear Model.*

162.
T. Feng; 1992; M.Sc. project; *An Analysis of
Geographical Data.*

163.
T. Leung; 1992; M.Sc. project; *Using Measurement Error
Models to Study the Shelter Effect.*

164.
H. Van Nguyen; 1992; M.Sc. project; *Application of Some
Multivariate Techniques in Analysing Biological Data.*

165.
Y. Wang; 1992; M.Sc. thesis; *Optimal Robust
Rank-Based Estimators in the Linear Model.*

166.
E. Wu; 1990; Ph.D. thesis; *Asymptotic Minimax Properties of M-estimators
of Scale.*

__Recreational Statistics/Probability/Mathematics problems solved__

167. 2003, Problem 02.3.2: Badly Weighted Least
Squares; *Econometric Theory*; 19, 701-703.

168.
2003, Problem 02.1.2: A
Particular Symmetric Idempotent Matrix; *Econometric Theory*; 19,
227-228.

169.
2000, Problem 17: Chance
of Having a Saddlepoint; *Chance*; 13, 54-55.

170.
1992, Problem E3386: The
Longest Expected World Series; *American Mathematical Monthly*; 99,
272-274.

171.
1988, Problem 6524: An
Alternating Sum of Products of Beta Random Variables; *American
Mathematical Monthly*; 95, 562-564.

172.
1988, Problem 6522: Persistence
of a Distribution Function; *American Mathematical Monthly*; 95,
360-362 .

173.
1985, Problem 266: Numbers
Which Equal Their Logarithms; *The College Mathematics Journal*; 16,
311.