Faculty Book Gallery Joseph Glaz and Markos V. Koutras, Editors. Handbook of Scan Statistics. Springer, 2024 Gregory C. Reinsel, Raja P. Velu, Kun Chen. Multivariate Reduced-Rank Regression: Theory, Methods and Applications. Springer, 2022 N. Ravishanker, B. Raman, and R. Soyer. Dynamic Time Series Models using R-INLA: An Applied Perspective. Chapman and Hall/CRC, 2022 N. Mukhopadhyay and P. P. Sengupta, ed. Gini Inequality Index Methods and Applications. CRC Press, 2021 N. Ravishanker, Z. Chi, and D. K. Dey. A First Course in Linear Model Theory. 2nd ed. Chapman and Hall/CRC, 2021 J. Glaz and M. V. Koutras, ed. Handbook of Scan Statistics. Springer, 2020 M. Hofert, I. Kojadinovic, M. Mächler, and J. Yan. Elements of copula modeling with R. Springer, 2018 V. H. Lachos, C. R. B. Cabral, and C. B. Zeller. Finite Mixture of Skewed Distributions. Springer, 2018 R. A. Davis, S. H. Holan, R. Lund, and N. Ravishanker, ed. Handbook of discrete-valued time series. Chapman and Hall/CRC, 2016 D. K. Dey and J. Yan. Extreme Value Modeling and Risk Analysis: Methods and Applications. Chapman and Hall/CRC, 2015 S. K. Upadhyay, U. Singh, D. K. Dey, and A. Loganathan, ed. Current Trends in Bayesian Methodology with Applications. Chapman and Hall/CRC, 2015 M. Chen, L. Kuo, and P. O. Lewis, ed. Bayesian Phylogenetics: Methods, Algorithms, and Applications. Mathematical and Computational Biology. Chapman and Hall/CRC, 2014 D. K. Dey and C. R. Rao, ed. Essential Bayesian Models. North Holland, 2011 M. Chen, P. Müller, D. Sun, K. Ye, and D. K. Dey, ed. Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger. Springer, 2010 D. K. Dey, S. Ghosh, and B. K. Mallick, ed. Bayesian Modeling in Bioinformatics. Vol. 34. Chapman & Hall/CRC Biostatistics Series. Chapman and Hall/CRC, 2010 J. Glaz, V. Pozdnyakov, and S. Wallenstein, ed. Scan Statistics: Methods and Applications. Statistics for Industry and Technology. Springer, 2009 O. Harel. Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application. Lambert Academic Publishing, 2009 N. Mukhopadhyay and B. M. De Silva. Sequential Methods and Their Applications. Chapman and Hall/CRC, 2009 S. K. Upadhyay, U. Singh, and D. K. Dey, ed. Bayesian Statistics and Its Applications. Anshan, 2007 N. Mukhopadhyay. Introductory Statistical Inference. Chapman & Hall/CRC, 2006 R. Baeza-Yates, J. Glaz, H. Gzyl, J. HŸsler, and J. L. Palacios, ed. Recent Advances in Applied Probability. Springer, 2005 D. K. Dey and C. R. Rao, ed. Bayesian Thinking, Modeling and Computation. Vol. 25. Handbook of Statistics. Elsevier, 2005 N. Mukhopadhyay, S. Datta, and S. Chattopadhyay, ed. Applied Sequential Methodologies: Real-World Examples with Data Analysis. Chapman & Hall/CRC, 2004 J. Glaz, J. Naus, and S. Wallenstein. Scan Statistics. Springer, 2001 J. G. Ibrahim, M. Chen, and D. Sinha. Bayesian Survival Analysis. Springer, 2001 N. Ravishanker and D. K. Dey. A First Course in Linear Model Theory. 1st ed. Chapman and Hall/CRC, 2001 M. Chen, Q. Shao, and J. G. Ibrahim. Monte Carlo Methods in Bayesian Computation. Springer, 2000 D. K. Dey, S. K. Ghosh, and B. K. Mallick, ed. Generalized Linear Models: A Bayesian Perspective. Chapman and Hall/CRC, 2000 N. Mukhopadhyay. Probability and Statistical Inference. Marcel Dekker, 2000 J. Glaz and N. Balakrishnan, ed. Scan Statistics and Applications. Statistics for Industry and Technology. Birkhäuser Boston, 1999 J. D. Petruccelli, B. Nandram, and M. Chen. Applied Statistics for Engineers and Scientists. Prentice Hall, 1999 D. K. Dey, P. MüIler, and D. Sinha, ed. Practical Nonparametric and Semiparametric Bayesian Statistics. Vol. 133. Lecture Notes in Statistics. Springer, 1998 M. Ghosh, N. Mukhopadhyay, and P. K. Sen. Sequential Estimation. John Wiley & Sons, 1997 N. Mukhopadhyay and T. K. Solanky. Multistage Selection and Ranking Procedures: Second Order Asymptotics. Vol. 142. Marcel Dekker, 1994
