Wiley series in probability and statistics
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Wiley series in probability and statistics
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Wiley series in probability and statistics
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Incoming Resources
- Design and analysis of experiments, Klaus Hinkelmann, Oscar Kempthorne
- Decision theory, principles and approaches, Giovanni Parmigiani, Lurdes Y. T. Inoue ; with contributions by Hedibert F. Lopes
- Periodically correlated random sequences, spectral theory and practice, Harry L. Hurd, Abolghassem Miamee
- Markov decision processes, discrete stochastic dynamic programming, Martin L. Puterman
- Statistical tolerance regions, theory, applications, and computation, K. Krishnamoorthy, Thomas Mathew
- Contemporary Bayesian econometrics and statistics, John Geweke
- Matrix analysis for statistics, James R. Schott
- Nonlinear time series analysis, Ruey S. Tsay, Rong Chen
- Introductory stochastic analysis for finance and insurance, X. Sheldon Lin
- Structural equation modeling, a Bayesian approach, Sik-Yum Lee
- Linear models in statistics, Alvin C. Rencher
- Directional statistics, Kanti V. Mardia, Peter E. Jupp
- Loss models, further topics, Stuart A. Klugman, Society of Actuaries Schaumburg, IL, Harry H. Panjer, Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada, Gordon E. Willmot, Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada
- The theory of measures and integration, Eric M. Vestrup
- Constrained statistical inference, inequality, order, and shape restrictions, Mervyn J. Silvapulle, Pranab K. Sen
- Matrix differential calculus with applications in statistics and econometrics, Jan Rudolph Magnus, Heinz Neudecker
- Approximation theorems of mathematical statistics, Robert J. Serfling
- Nonparametric analysis of univariate heavy-tailed data, research and practice, Natalia Markovich
- Robust statistics, Peter J. Huber, Elvezio M. Ronchetti
- Fundamentals of queueing theory, John F. Shortle, James M. Thompson, Donald Gross, Carl M. Harris
- Applied Bayesian modeling and causal inference from incomplete-data perspectives, an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
- Nonparametric finance, Jussi Klemelä
- Time series analysis, forecasting and control, George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel
- Sampling, Steven K. Thompson
- Robust correlation, theory and applications, Georgy L. Shevlyakov, Hannu Oja
- An introduction to analysis of financial data with R, Ruey S. Tsay
- Robust statistics, theory and methods (with R), Ricardo A. Maronna, R. Douglas Martin, Victor J. Yohai, MatÃas Salibián-Barrera
- Numerical issues in statistical computing for the social scientist, Micah Altman, Jeff Gill, Michael P. McDonald
- Subjective and objective Bayesian statistics, principles, models, and applications, S. James Press ; with contributions by Siddhartha Chib ... [and others]
- Time series analysis and forecasting by example, Søren Bisgaard, Murat Kulahci
- Generalized, linear, and mixed models, Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus
- Bayesian models for categorical data, Peter Congdon
- Experiments, planning, analysis, and optimization, C. F. Jeff Wu, Michael S. Hamada
- Causality, statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
- Bayesian statistical modelling, Peter Congdon
- Multivariate statistics, high-dimensional and large-sample approximations, Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu
- Time series, applications to finance with R and S-Plus, Ngai Hang Chan
- Models for probability and statistical inference, theory and applications, James H. Stapleton
- Advanced analysis of variance, Chihiro Hirotsu
- Bayesian analysis for the social sciences, Simon Jackman
- Statistics of extremes, theory and applications, Jan Beirlant ... [and others], with contributions from Daniel De Waal, Chris Ferro
- Robustness theory and application, Brenton R. Clarke
- Statistics for experimenters, design, innovation, and discovery, George E.P. Box, J. Stuart Hunter, William G. Hunter
- Latent class and latent transition analysis, with applications in the social behavioral, and health sciences, Linda M. Collins, Stephanie T. Lanza
- Multilevel statistical models, Harvey Goldstein
- Quantile regression, theory and applications, by Cristina Davino, Marilena Furno, Domenico Vistocco
- Simulation and the monte carlo method
- Foundations of linear and generalized linear models, Alan Agresti, Distinguished Professor Emeritus, University of Florida, Gainesville, FL, Visiting Professor, Harvard University, Cambridge, MA
- Time series analysis with long memory in view, Uwe Hassler
- Sensitivity analysis, edited by Andrea Saltelli, Karen Chan, E.Marian Scott