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Probability & Statistics

Most popular at the top

  • Inference and Prediction in Large Dimensionsby Denis Bosq; Delphine Blanke

    Wiley 2008; US$ 114.00

    This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit and prediction,... more...

  • Advances in Multivariate Statistical Methodsby Ashis SenGupta

    World Scientific Publishing Company 2009; US$ 190.00

    This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods,... more...

  • Mathematical Methods in Survival Analysis, Reliability and Quality of Lifeby Catherine Huber; Nikolaos Limnios; Mounir Mesbah; Mikhail Nikulin

    Wiley 2013; US$ 222.00

    Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability,... more...

  • Applied Bayesian Hierarchical Methodsby Peter D. Congdon

    Taylor and Francis 2010; US$ 104.95

    The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach... more...

  • Log-Gases and Random Matrices (LMS-34)by Peter J. Forrester

    Princeton University Press 2010; US$ 115.00

    Random matrix theory, both as an application and as a theory, has evolved rapidly over the past fifteen years. Log-Gases and Random Matrices gives a comprehensive account of these developments, emphasizing log-gases as a physical picture and heuristic, as well as covering topics such as beta ensembles and Jack polynomials. Peter Forrester presents... more...

  • Sequential Methods and Their Applicationsby Nitis Mukhopadhyay; Basil M. de Silva

    Taylor and Francis 2008; US$ 115.95

    Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come Alive Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas. ... more...

  • Expansions and Asymptotics for Statisticsby Christopher G. Small

    Taylor and Francis 2010; US$ 104.95

    Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and Asymptotics for Statistics shows how asymptotics,... more...

  • Multilevel Statistical Modelsby Harvey Goldstein

    Wiley 2011; US$ 99.95

    Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for... more...

  • Bayesian Model Selection and Statistical Modelingby Tomohiro Ando

    Taylor and Francis 2010; US$ 98.95

    Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author... more...

  • Latent Class Analysis of Survey Errorby Paul P. Biemer

    Wiley 2011; US$ 108.00

    Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of... more...