A review of the major statistical techniques which can be used to analyze regression data with nonconstant variability and skewness. The authors have developed techniques to deal with these types of problems, the complications of which can be observed in diverse fields. Annotation copyright Book New

Since the general recognition of the Archaebacteria, research into the evolution, metabolism, molecular biology and ecological roles of these fastidious anaerobes has proceeded at an ever-increasing pace. All possess a very novel biochemistry and many exploit unique ecological niches. Methanogens, which convert one-and-two carbon compounds into the important atmospheric gas methane, are the largest group among the Archaebacteria. Of all microbial groups, methanogens provide perhaps the best opportunity to study evolution because of their phyologenetic diversity and unique biochemistry. Today,...

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

This book covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that has appeared only in journals, the author provides a concise and accessible overview of probabilistic foundations, statistical methods, and applications, with an emphasis on basic principles and practical applications, giving the reader an integrated perspective on theory and practice. It explores data sets from a wide range of disciplines such as hydrology, climatology, telecommunications engineering, and high-precision physical measurement, with all data sets...

This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each...

This work describes the different operational regimes and the dominant mechanisms of flows in disperse systems.

Vacuum Physics and Techniques covers all of the important topics in modern vacuum physics and will enable the reader to understand the problems associated with vacuum system design, pressure measurement, etc. Students, engineers and researchers entering the area will find this book an excellent introduction to modern vacuum physics and current practice.

Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning...

Analysis of repeated measurement data is a recurrent challenge to statisticians engaged in biological and biomedical applications. For example, data from clinical trials are often longitudinal in nature, with repeated measures of response taken over time. In pharmacokinetic studies, serial measurements of drug concentrations are taken from each participant. By definition, growth studies involve repeated measurements over time. In other applications, measurements on experimental units may be repeated across some other dimension, e.g. spatially rather than temporally.