LIST OF PH.D.s IN THE STATISTICAL SCIENCES

Mathematics Department, University of Maryland, College Park, MD 1967-1999

ADVISOR: K. DANIEL

Brooks, Lowell (6/70) Linear Programs for the Solutions of Discrete Dynamic Programming and Markov Renewal Programming Problems

ADVISOR: M. FREIDLIN

Sowers, Richard (5/91) New Asymptotic Results for Stochastic Partial Differential Equations

Carmona, Sara (5/92) A Large Deviations Principle and Wave Front Propagation for a Reaction-Diffusion Equation

Dunyak, James (5/94) Probabilistic Methods for Diffusions in Regions with Many Small Holes

Vilarrubi, Roberto (12/94) Large Deviations Results for Some Stochastic Partial Differential Equations

Rowe, Errol (5/96) Probabilistic Approach to a class of PDE systems

Pfeiffer, Ruth (8/98) Statistical Problems for Stochastic Processes with Hysteresis

ADVISOR: A. KAGAN

Tzavelas, George (8/94) Parameter Estimation: Quasi-Likelihood, Generalized Linear Models, Semiparametric Models and Exponential Families

ADVISOR: B. KEDEM

Reed, George (12/83) Some Properties and Applications of Higher Order Crossings

Martin, Donald E. (12/90) Estimation of the Minimal Period of Periodically Correlated Sequences

Lopes, Silvia (12/91) Spectral Analysis in Frequency Modulated Models

Pavlopoulos, Haralabos (12/91) Statistical Inference for Optimal Thresholds

Troendle, James (12/91) An Iterative Filtering Method of Frequency Detection in a Mixed Spectrum Model

Li, Ta-Hsin (8/92) Multiple Frequency Estimation in Mixed-Spectrum Time Series by Parametric Filtering

Fokianos, Kostantinos (8/96) Categorical Time Series: Prediction and Control

Barnett, John T. (8/96) Zero-Crossings of Some Non-Gaussian Processes with Application to Estimation

De Oliveira, Victor (8/97) Prediction in Some Classes of Non-Gaussian Random Fields

Jeffries, Neal (5/98) Logistic Mixtures of Generalized Linear Models in Time Series

Kozintsev, Boris (8/99) Computations With Gaussian Random Fields

ADVISOR: T. LEE

Torcaso, Fred (8/98) Wave Propagation for Systems of KPP Equations in Random Media

ADVISOR: P. MIKULSKI

Kaplan, Harold M. (6/67) Large-Sample Tests of Expectations in the Presence of Nuisance Parameters

Kalish, George (6/69) The Asymptotic Efficiency of the Smirnov Test

Yu, Chin Shih (8/69) On Upper Bounds of Asymptotic Power and on Pitman Efficiencies of Kolmogorov and Smirnov Tests

Archambault, William (12/72) On Bounds for the Asymptotic Power and on Pitman Efficiencies for the Cramer-von-Mises Tests

Wieand, Harry (Sam) (12/74) On a Condition Under Which the Pitman and Bahadur Approaches to Efficiency Coincide

Weiner, Kenneth (5/75) Modified Approximate Efficiencies for General Location Problems

Monsour, Michael (8/86) Optimality and Other Asymptotic Properties of the Maximum Likelihood Estimator in the First Order Autoregressive Process

ADVISOR: E. SLUD

Chambers, Daniel (8/83) Central and Functional Central Limit Theorems for Functionals of Gaussian Processes

Koutsoukos, Antonis (8/90) Probabilities of Moderate and Large Deviations of Test Statistics and Estimators in the Presence of Nuisance Parameters

Vonta, Filia (8/92) Efficient Estimation of a Structural Parameter in a Non-Proportional Hazards Model in the Two-Sample Problem

Kopylev, Leonid (8/97) On Estimation of the Marginal Survival Function in the Cox Model

ADVISOR: P. SMITH

Lakatos, Edward (12/78) Undiminished Residual Effects Designs and Their Applications to Survey Sampling

Hurtado-Donaldson, Ana (5/88) Nonparametric Estimation in a Survival/Sacrifice Experiment

Myers, Margaret (8/88) Robustness of Design in Misspecified Logistic Re- gression

Chen, Sy-Mien (12/90) Robust Tests in Statistical Quality Control

Graubard, Barry I. (8/91) Statistical Methods for the Analysis of Complex Survey Data with Biomedical Applications

Chung, Carol (12/97) A Central Limit Theorem for Spatial Regression Based on Generalized Estimating Equations Applications

ADVISOR: R. SYSKI

Shachtman, Richard H. (8/68) Stieltjes Stochastic Integrals

Blake, Louis (8/69) The Preservation of Regularity of Conditional Proba- bilities

Kolmus, Peter (8/75) Extension Theorems for Choquet Capacities with Applications in Probability Theory

Bushar, Harry (8/76) Continuous Parameter Markov Chains, Classification of Boundary Points and Use of Local Time

Harrington, David (8/76) Limit Theorems for Continuous Time Markov Branching Processes with Varying and Random Environments

Rosen, Julie (12/81) The Fortet Integral with Respect to a Martingale

Cai, Haiyan (5/88) On Reviving Markov Processes and Applications

Liu, Ning (5/95) Decomposition Theorems for Standard Processes

ADVISOR: C. Z. WEI

Chan, Ngai Hang (8/85) Asymptotic Inference of Nonstationary Autore-gressive Processes

Winnicki, Jan (5/86) A Unified Estimation Theory for the Branching Process with Immigration

Guo, Meihui (8/89) Inference for Nonlinear Time Series

Lee, Sangyeol (8/91) Testing Gaussianality of Time Series

Karagrigoriou, Alexandros (8/92) Asymptotic Efficiency of Model Selection Procedures in Time Series

ADVISOR: G. YANG

Fleming, Thomas (12/76) Non-Parametric Estimation for Non-Time-Homogeneous Markov Processes in the Problem of Competing Risks

Rubinstein, Lawrence (8/78) Nonparametric Estimation of the Survival Function for Censored Data

Conner, Teresa (12/81) A Heteroscedastic Model Arising from Dependence Between the Mean and the Variance

Chang, Myron (5/84) Nonparametric Estimation for Doubly Censored Data

Foster, Dean (8/88) Conditional Least Squares for Semi-Martingales

Lee, Chin San (8/89) Parameter Estimation in Branching Processes with Application to Tumor Growth

Wang, Wenyu (5/90) Statistical Inference for Aggregated Markov Processes

Chen, Gang (8/92) A Conditional Bootstrap Procedure and its Asymptotic Accuracy: A Nonparametric Approach

Xu, Jian-Lun (8/93) Nonparametric Estimation of a Distribution Function in Biased Sampling Models