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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
Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex Data. It is deliberately inten...Savoir plus
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness...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
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
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Model-Free Curve Estimation details the Fourier series approach to density estimation and explores how model-free technology can be expanded to deal w...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
Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in thi...Savoir plus
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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...Savoir plus
Exploring the advantages of the state-space approach, this book presents numerous computational procedures that can be applied to a previously specifi...Savoir plus
This monograph presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, the authors study Gau...Savoir plus
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Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to ...Savoir plus
The bestselling second edition of this outstanding text remains popular today for its clarity, richness of content and direct relevance to agricultura...Savoir plus
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The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the b...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
This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This appro...Savoir plus
Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter e...Savoir plus
Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states ...Savoir plus
Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields. This book presents an overview o...Savoir plus
Kernal Smoothing provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilitated b...Savoir plus