edited by Yogendra P Chaubey (Concordia University, Canada)

This volume consists of research papers dealing with computational and methodological issues of statistical methods on the cutting edge of modern science. It touches on many applied fields such as Bayesian Methods, Biostatistics, Econometrics, Finite Population Sampling, Genomics, Linear and Nonlinear Models, Networks and Queues, Survival Analysis, Time Series, and many more.

• Unemployment, Search and the Gender Wage Gap: A Structural Model (C Belzil & X Zhang)
• Kullback-Leibler Optimization of Density Estimates (A Berlinet & E Brunel)
• The Asymptotic Distribution of Spacings of Order Statistics (M G Bickis)
• Second-Order Moments and Mutual Information in the Analysis of Time Series (D R Brillinger)
• On the Robustness of Relative Surprise Inferences to the Choice of Prior (M Evans & T Zou)
• Using Survival Analysis in Pretern Birth Study (C Y Fu & S H Liu)
• A Nested Frailty Survival Model for Recurrent Events (R Ma et al.)
• Testing Goodness-of-Fit of the Gamma Models (C E Marchetti et al.)
• On Frailty Models and Copulas (D Oakes)
• Surrogate Data and Fractional Brownian Motion (P Rabinovitch)
• Nonlinear Mixed Effects Models: Recent Developments (P S R S Rao & N Zaino)
• Computational Sequence Analysis: Genomics and Statistical Controversies (P K Sen)
• Universal Optimality of Completely Randomized Designs (K R Shah & B K Sinha)
• Generalized Smoothed Estimating Functions with Censored Observations (A Thavaneswaran & J Singh)
• and other papers