The subject of time series is of considerable interest, especially among researchers in econometrics, engineering, and the natural sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a lucid introduction to the field and, in this new Second Edition, covers the important advances of recent years, including nonstationary models, nonlinear estimation, multivariate models, state space representations, and empirical model identification. New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and...

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"The effort of Professor Fuller is commendable . . . the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the...

Providing a thorough and comprehensive treatment of sampling theory, methods, and current topics of interest, "Sampling Statistics" features the latest developments and current practices in survey sampling. The book introduces basic sampling concepts to facilitate the application of model-based procedures to survey samples. It focuses on survey samples of populations such as the residents of particular states throughout the United States. The accessible material is suitable for both upper undergraduate and beginning graduate students as well as practicing statisticians.