Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

1. Front Matter

   Pages i-xvii

   PDF

2. Invited Sessions

   1. Front Matter

      Pages 1-1

      PDF

   2. Youden Square with Split Units

      • Stanisław Franciszek Mejza, Shinji Kuriki

      Pages 3-10

   3. Likelihood and PLS Estimators for Structural Equation Modeling: An Assessment of Sample Size, Skewness and Model Misspecification Effects

      • Manuel J. Vilares, Pedro S. Coelho

      Pages 11-33

3. Communications

   1. Front Matter

      Pages 35-35

      PDF

   2. A Parametric Cure Model with Covariates

      • Ana M. Abreu, Cristina S. Rocha

      Pages 37-45

   3. Survival Analysis Applied to the Study of Time from Diagnosis of HIV-1 Infection to AIDS in Portugal

      • Marta Alves, Cristina S. Rocha, Maria Teresa Paixão

      Pages 47-54

   4. A New Independence Test for VaR Violations

      • P. Araújo Santos, M. I. Fraga Alves

      Pages 55-63

   5. Discrimination Between Parametric Survival Models for Removal Times of Bird Carcasses in Scavenger Removal Trials at Wind Turbines Sites

      • Regina Bispo, Joana Bernardino, Tiago A. Marques, Dinis Pestana

      Pages 65-72

   6. Uniformity

      • M. F. Brilhante, M. Malva, S. Mendonça, D. Pestana, F. Sequeira, S. Velosa

      Pages 73-81

   7. Asymptotic Comparison at Optimal Levels of Minimum-Variance Reduced-Bias Tail-Index Estimators

      • Frederico Caeiro, M. Ivette Gomes

      Pages 83-91

   8. Extremal Behavior of the Generalized Integer-Valued Random Coefficient Autoregressive Process

      • Luísa Canto e Castro, Dulce Gomes, Maria da Graça Temido

      Pages 93-101

   9. Models of Individual Growth in a Random Environment: Study and Application of First Passage Times

      • Clara Carlos, Carlos A. Braumann, Patrícia A. Filipe

      Pages 103-111

   10. Generalized Linear Mixed Effects Model in the Analysis of Longitudinal Discrete Data

       • Eunice Carrasquinha, M. Helena Gonçalves, M. Salomé Cabral

       Pages 113-120

   11. Risk Assessment on Campylobacter in Broiler Meat at Slaughter Level in Portugal

       • Marta Castel-Branco, Marília Antunes, Patrícia Inácio, Miguel Cardo

       Pages 121-129

   12. Predicting and Treating Missing Data with Boot.EXPOS

       • Clara Cordeiro, M. Manuela Neves

       Pages 131-138

   13. Bayesian Genetic Mapping of Binary Trait Loci

       • César Correia, Nuno Sepúlveda, Carlos Daniel Paulino

       Pages 139-146

   14. Concomitant Latent Class Models Applied to Mathematics Education

       • Maria Eugénia Ferrão, José G. Dias

       Pages 147-153

   15. Evaluating Discriminant Analysis Results

       • Ana Sousa Ferreira, Margarida Cardoso

       Pages 155-162

   16. Distribution of the Number of Losses in Busy-Periods of \({M}^{X}/G/1/n\) Systems

       • Fátima Ferreira, António Pacheco, Helena Ribeiro

       Pages 163-171

This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009. It covers a broad scope of theoretical, methodological as well as application-oriented articles in domains such as: Linear Models and Regression, Survival Analysis, Extreme Value Theory, Statistics of Diffusions, Markov Processes and other Statistical Applications.

• Probability Theory
• Statistical Inference
• Statistical Modeling
• Stochastic Processes
• Testing Statistical Hypothesis

• , Universidade Nova de Lisboa, CMA and Faculdade de Ciˆenciase Tecnolog, Caparica, Portugal

  João Lita da Silva, Frederico Caeiro

• , Universidade Nova de Lisboa, CEAUL and Faculdade de Ciˆenciase Tecnol, Caparica, Portugal

  Isabel Natário

• , Universidade Nova de Lisboa,, CEAUL and Faculdade de Ciˆenciase Tecnol, Caparica, Portugal

  Carlos A. Braumann

João Lita da Silva, born in November 1975, completed his first degree in Mathematics in 1997 and his M.Sc. on Functional Analysis and Partial Differential Equations in 2001 at the University of Lisbon. He received his Ph.D. in Statistics from the New University of Lisbon in 2007. His research interests include Partial Differential Equations, Probability Theory and Statistics.
 
Frederico Caeiro is an Assistant Professor at the Department of Mathematics, Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa (Faculty of Sciences and Technology - New University of Lisbon). He received his Ph.D. in Statistics at the University of Lisbon in 2006. His main research interests are Extreme Value Theory, Computational Statistics and Distributional Theory.

Isabel Natário is a Professor at the Mathematics Department of Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa and a member of the research center CEAUL. She holds a doctorate in Probability and Statistics (Universidade de Lisboa, 2005), her main research interests being in spatial statistics, hierarchical and dynamic modeling, Bayesian statistics and statistical epidemiology.
 
Carlos A. Braumann, born 1951, is a Professor at the University of Évora (UE) and its current Rector, with publications mostly on Stochastic Differential Equations and its applications. He completed his Ph.D. at the State University of New York at Stony Brook in 1979 and his postdoctoral studies in Stochastic Processes at the UE in 1988. He has been an elected member of the International Statistical Institute since 1992, is a former President of the European Society for Mathematical and Theoretical Biology (2009-12) and of the Portuguese Statistical Society (2006-09 and 2009-12), and a former member of the European Regional Committee of the Bernoulli Society (2008-12).
 
Manuel L. Esquível is an Associate Professor of Probability andStochastic Processes at FCT/UNL. He has previously served as the Faculty Deputy Director for Continuing Education 1999-2004, as Chief Editor of the Bulletin of the Portuguese Institute of Actuaries 2005-2008, Coordinator of the Centre of Mathematics and Applications of UNL 2009, and as a member of the certifying committee of non-life actuaries.  He has produced publications on harmonic analysis of stochastic processes, probability and statistics and mathematical models for risk assessment.
 
João Tiago Mexia is an Emeritus Full Professor at Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa (Faculty of Sciences and Technology - New University of Lisbon). His first degree was in Forestry, from Universidade Técnica de Lisboa (Lisbon University of Technology). He received his Ph.D. from the Universidade Nova de Lisboa (New University of Lisbon) in 1988. He directed the University’s mathematics research center (CMA - Center for Mathematics and its Applications) from 1999 to 2009. His research chiefly focused on Linear Statistical Inference.

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