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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...Savoir plus
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...Savoir plus
The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen develope...Savoir plus
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Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its wid...Savoir plus
A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to in...Savoir plus
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Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable ...Savoir plus
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties conne...Savoir plus
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...Savoir plus
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...Savoir plus
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The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are takin...Savoir plus
Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolut...Savoir plus
Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials an...Savoir plus
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields incl...Savoir plus
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, trea...Savoir plus
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to ...Savoir plus
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...Savoir plus
This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This appro...Savoir plus
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete...Savoir plus
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