

Associate Professor
Department of Mathematical and Statistical Methods
Tel/Fax:
(48)618487140
Wojska Polskiego 28
60-637
amark@au.poznan.pl
Education:
·
MS, Mathematics, 1980,
·
Ph.D., Mathematics, 1988,
·
Habilitation, Mathematics, 1999,
·
Title of the professor, Mathematics, 2009,
Professional Experience:
·
2003 - present, Associate Professor, Department
of Mathematical and Statistical Methods
Agricultural
University of
·
1988 - 2003, Assistant Professor, Department of Mathematical
and Statistical Methods
Agricultural
·
1979 - 1988, Instructor, Department of
Mathematical and Statistical Methods
Agricultural
Related events:
§
13th International Workshop on
Matrices and Statistics - IWMS 2004
§
MAT-TRIAD 2005 – three days full
of matrices
§ 15th International Workshop on
Matrices and Statistics – IWMS 2006
§ MAT-TRIAD
2007 – three days full of matrices
§
16th International Workshop on Matrices and Statistics – IWMS
2007
§
17th International Workshop on Matrices and Statistics – IWMS
2008
§
The 9th Tartu Conference on Multivariate
Statistics & The 20th International Workshop on Matrices and
Statistics, Tartu 2011
§
Design and Analysis of Experiments, Isaac Newton Institute for Mathematical Sciences, Cambridge 2011
§
International Workshop & Conference on
Combinatorial Matrix Theory and Generalized Inverses of Matrices, Manipal 2012
Selected
Publications:
w Baksalary, J.K., C.R. Rao,
A. Markiewicz (1992). A study of the "natural
restrictions" on the estimation problems in the singular Gauss-Markov
model. Journal of Statistical Planning and Inference 31,
335-351.
w Hauke, J., A. Markiewicz
(1995). On partial orderings on the set of rectangular matrices. Linear Algebra and Its Applications 219, 187-194.
w Baksalary, J.K., A. Markiewicz, C.R.
Rao (1995).
Admissible linear estimation in the general Gauss-Markov model with respect to
an arbitrary quadratic risk function. Journal of Statistical Planning and
Inference 44, 341-347.
w Markiewicz, A. (1996). Characterization of
general ridge estimators. Statistics & Probability Letters 27,
145-148.
w Heiligers, B., A. Markiewicz
(1996). Linear sufficiency and
admissibility in restricted linear models. Statistics & Probability
Letters 30, 105-111.
w Markiewicz, A. (1997). Properties of
information matrices for linear models and universal optimality of experimental designs. Journal
of Statistical Planning and Inference 59, 127-137.
w Markiewicz, A. (1998). Comparison of linear
restricted models with respect to the validity of admissible and linearly
sufficient estimators. Statistics & Probability Letters 38,
347-354.
w Gross, J., J. Hauke,
A. Markiewicz (1999).
Partial orderings, preorderings, and the polar
decomposition of matrices. Linear Algebra
and Its Applications 289, 161-168.
w Markiewicz A. (1999). Simultaneous polar
decomposition of rectangular complex matrices. Linear Algebra and Its Applications 289, 279-284.
w Gross, J., A. Markiewicz
(1999). On admissibility of linear estimators with respect to the mean square
error matrix criterion under the general mixed linear model. Statistics 33,
57-71.
w Markiewicz A. (2001). On dependence
structures preserving optimality. Statistics & Probability Letters 53,
415-419.
w Hauke, J., A. Markiewicz,
T. Szulc (2001). Inter- and extrapolary
properties of matrix partial orderings. Linear
Algebra and Its Applications 332-334, 437-445.
w Hauke, J., C.R. Johnson, A. Markiewicz (2002). Maximal spectrally submultiplicative
matrix families. Mathematical Inequalities & Applications 5,
1-6.
w Markiewicz, A. (2002). Estimation and
experiments comparison with respect to the matrix risk. Linear Algebra and Its Applications 354, 213-222
w Filipiak, K., A. Markiewicz
(2003). Optimality of neighbor balanced designs under mixed effects model. Statistics
& Probability Letters 61, 225-234.
w Filipiak, K., A. Markiewicz
(2004). Optimality of type I orthogonal arrays for general interference model
with correlated observations. Statistics & Probability Letters 68,
259-265.
w Gross, J., A. Markiewicz
(2004). Characterizations of admissible linear estimators in the linear model. Linear Algebra and Its Applications
388, 239-248.
w Filipiak, K., A. Markiewicz
(2005). Optimality and efficiency of neighbor balanced designs for correlated
observations. Metrika 61, 17-27.
w Elsner, L., A. Markiewicz,
T. Szulc (2006). Preface to the Proceedings of the 13th
International Workshop on Matrices and Statistics, Będlewo
2004. Linear Algebra and Its
Applications 317, 1-2.
w Druilhet, P., A. Markiewicz
(2007). Information matrices for non full rank
subsystems. Metrika 65, 171-182.
w Markiewicz, A., A. Szczepańska
(2007). Optimal designs in multivariate linear models. Statistics &
Probability Letters 77, 426-430.
w Filipiak, K., A. Markiewicz
(2007). Optimal designs for a mixed interference model. Metrika;
65, 369–386.
w Markiewicz, A., S. Puntanen
(2009). Admissibility and linear sufficiency in linear model with nuisance
parameters. Statistical Papers, 50, 847–854
w Filipiak, K., A. Markiewicz,
A. Szczepańska (2009). Optimal designs under a
multivariate linear model with additional nuisance parameters. Statistical Papers, 50, 761–778.
w Markiewicz, A., G. Trenkler
(2009). Preface to the Proceedings of the International Conference on Trends
and Perspectives in Linear Statistical Inference LINSTAT’2008 in Celebration of
Tadeusz Caliński’s 80th
Birthday. Statistical Papers, 50, 693–695.
w Markiewicz, A.,
w
Filipiak, K., A. Markiewicz (2012). On universal optimality of circular
weakly neighbor balanced designs under an interference model. Communications in Statistics - Theory and
Methods, 41, 2405-2418..
w
Filipiak, K., A. Markiewicz, R. Rozanski (2012).
Maximal determinant over a certain class of matrices and its application to
D-optimality of designs. Linear
Algebra and Its Applications, 436, 874-887.
w
Hauke, J., A. Markiewicz,
w
Filipiak, K., Markiewicz A., Sawikowska A.
(2012). Determinants of multidiagonal matrices. Electronic Journal of Linear Algebra, 25, 101-117.
w
Filipiak, K., Markiewicz A. (2012). On the optimality of circular block
designs under a mixed interference model. Communications in Statistics - Theory and Methods, accepted.