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Journal of
Statistical Theory and Practice
ISSN: 1559-8608(Print), 1559-8616(Online)
Editor-in-Chief
Sat Gupta, Department of Mathematics and Statistics,
University of North Carolina at Greensboro, NC 27402, USA.
Tel: +1 336-256-1126, Email:
sngupta@uncg.edu
Journal of Statistical Theory and Practice
Volume 2, No. 3, September 2008
Special Issue on Semiparametric Methods
Guest Editor: Dr. Benjamin Kedem
Table of Contents
1. Introduction to Semiparametric Methods
pp. 333-337
Benjamin Kedem
Department of Mathematics,
University of Maryland, College Park
Guanhua Lu
Department of Mathematics,
University of Maryland, College Park
2. On Exponentially Weighted Recursive Least Squares for
Estimating Time-Varying Parameters and Its Application to
Computer Workload Forecasting
pp. 339-354
Ta-Hsin Li
Department of Mathematical Sciences,
IBM T.J. Watson Research Center, YorkTown Heights, New York
3. A Note on Monte Carlo Maximization by the Density
Ratio Model
pp. 355-367
Konstantinos Fokianos
Department of Mathematics and Statistics,
University of Cyprus
Jing Qin
National Institute of Allergy and Infectious Disease,
National Institutes of Health, Bethesda, Maryland
4. Constrained Maximum Likelihood Estimation under Logistic
Regression Models Based on Case-Control Data
pp. 369-383
Biao Zhang
Department of Mathematics, University of Toledo, Ohio
5. On the Efficiency of a Semiparametric Approach to
the One-Way Layout
pp. 385-406
Richard Gagnon
Department of Mathematics,
University of Maryland, College Park
Benjamin Kedem
Department of Mathematics,
University of Maryland, College Park
Ying Qi
Core Genotyping Facility,
SAIC-Frederick Inc. Gaithersburg, Maryland
6. Estimating the Mean of High Valued Observations in
High Dimensions
pp. 407-418
Eitan Greenshtein
SAMSI, Research Triangle Park, North Carolina
Junyong Park
Department of Mathematics and Statistics,
University of Maryland Baltimore County, Maryland
Yaacov Ritov
Department of Statistics, Hebrew University, Jerusalem, Israel
7. Estimating Distribution Functions from Survey Data Using
Nonparametric Regression
pp. 419-431
Alicia A. Johnson
School of Statistics, University of Minnesota, Minneapolis
F. Jay Breidt
Department of Statistics, Colorado State University, Fort Collins
Jean D. Opsomer
Department of Statistics, Colorado State University, Fort Collins
8. On Optimal Uniform Deconvolution
pp. 433-451
Andrey Feuerverger
Department of Statistics, University of Toronto
Peter T. Kim
Department of Mathematics and Statistics,
University of Guelph, Guelph, Ontario
Jiayang Sun
Department of Statistics,
Case Western Reserve University, Cleveland
9. Wavelet Based Estimation of the Derivatives of a Density
for a Negatively Associated Process
pp. 453-463
Yogendra P. Chaubey
Department of Mathematics and Statistics,
Concordia University, Montreal
Hassan Doosti
Statistical Research and Training Center (SRTC), Tehran, Iran,
Department of Statistics, Ferdowsi University, Mashhad, Iran
B.L.S. Prakasa Rao
Department of Mathematics and Statistics,
University of Hyderabad, Hyderabad, India
10. Asymptotic Optimality of Periodic Spline Interpolation in
Non-parametric Regression
pp. 465-474
Jaerin Cho
Department of System Management Engineering,
Sungkyunkwan University, Suwon, Korea
Boris Levit
Department of Mathematics and Statistics, Queen’s University,
Kingston, Ontario, Canada
11. Some Developments in Semiparametric Statistics
pp. 475-491
Anton Schick
Department of Mathematical Sciences,
Binghamton University, Binghamton, New York
Wolfgang Wefelmeyer
Mathematics Institute, University of Cologne, Germany
12. From the Early Days of the Semiparametric Field:
A Conversation with Ya'acov Ritov, Department of Statistics,
Hebrew University, Jerusalem, Israel
pp. 493-496
Benjamin Kedem
Department of Mathematics, University of Maryland, College Park
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