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Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possib...Lees meer
This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book Risk Theory...Lees meer
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness...Lees meer
The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen develope...Lees meer
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A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to in...Lees meer
Model-Free Curve Estimation details the Fourier series approach to density estimation and explores how model-free technology can be expanded to deal w...Lees meer
Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable ...Lees meer
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties conne...Lees meer
The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard...Lees meer
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well found...Lees meer
Diagnostic checking is an important step in the modeling process. But while the literature on diagnostic checks is quite extensive and many texts on t...Lees meer
As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better...Lees meer
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are takin...Lees meer
Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolut...Lees meer
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields incl...Lees meer
Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials an...Lees meer
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, trea...Lees meer
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to ...Lees meer
Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a...Lees meer
This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This appro...Lees meer
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete...Lees meer
This book covers recent advances in the field, including vine copula modeling of high-dimensional data. The author develops vine copula models and gen...Lees meer
Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states ...Lees meer