Series: Chapman & Hall/CRC Texts in Statistical Science

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganisation of the material, this edition concentrates more on hierarchical Bayesian modelling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third Edition New...

Start Analysing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition takes advantage of the greater functionality now available in R and substantially revises...

Statistical Regression and Classification provides a modern introduction to regression and classification, with a particular emphasis on big data and the use of R. Each chapter is thoughtfully divided into two sections: a main body and an extras section. The main body of the text uses mathematical statistics very sparingly, and always in the context of something concrete. This approach...

Statistical Regression and Classification provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a main body section and an extras section. The main body uses mathematical statistics very sparingly and always in the context of something concrete. This means that readers can skip the mathematical statistics content entirely...

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The Analysis of Time Series covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models....