Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synth
Boland's (University College Dublin, Ireland) text covers many of the diverse methods in applied probability and statistics, building on the reader's existing basic knowledge of probability and statis
Gustafson (U. of British Columbia) discusses problems and solutions associated with statistical analysis when an explanatory variable cannot be observed directly, and a rough surrogate for it is measu
Statistics in Musicology offers an introduction to statistical and mathematical methods developed for use in music analysis, music theory, and performance theory.This unique book explores concrete met
Presents state-of-the-art methods in model-based geostatistics (MBG) and its application to problems in global public health. Scientific objective is to describe the pattern of spatial variation in a
While there are numerous books on the analysis of Generalized Linear Models (GLMs), there is very little information available on how to design the experiments that will collect the data. This book wi
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Mult
Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostat
Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heteroge
Capture-recapture methods are techniques used to estimate the size of populations that cannot be easily counted. Examples are homeless populations, illegal immigrants, illegal drug users, drivers driv
This is the third edition of a classic reference on correspondence analysis. It has a practical focus, with mathematical details kept to a minimum and lots of worked examples and case studies. The thi
The locations of trees in a forest, new cases of a disease, or gold deposits mapped in a geological survey are all examples of a spatial point pattern—a dataset that provides the observed spatial loca
This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of dat
Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis
Mirroring the growing interest and use of statistical methods and software in education, health, and marketing, this book focuses on the statistical methods used to analyze and validate questionnaires
An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks
Written for researchers and graduate students in statistics, demography, and the social sciences, this reference provides an overview of capture-recapture—the statistical methods used to estimate popu
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAP
Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostati
A practical guide for handling missing data, this book provides a flexible and accessible framework for multiple imputation along with strategies for obtaining effective solutions to these problems. T
The use of cluster detection and surveillance has become an important component of geographic information systems (GIS), and this book explores some of the methods and software used to collect, store
Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating t
