Chapman & Hall/CRC Monographs on Statistics and Applied Probability – serie
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206 produkter
Density Estimation for Statistics and Data Analysis
Inbunden, 1986
2501 kr
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Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the technique's practical value. Furthermore, the subject has been rather inaccessible to the …
Generalized Linear Models with Random Effects
Unified Analysis via H-likelihood, Second Edition
Av Youngjo Lee, John A. Nelder m. fl.
Häftad, 2021
804 kr
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This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical …
Sparse Graphical Modeling for High Dimensional Data
A Paradigm of Conditional Independence Tests
Inbunden, 2023
1515 kr
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This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison; unified …
Introduction to Time Series Modeling with Applications in R
Inbunden, 2020
2124 kr
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Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in …
Bayesian Nonparametrics for Causal Inference and Missing Data
Av Michael J. Daniels, Antonio Linero m. fl.
Inbunden, 2023
1824 kr
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Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the …
Nonlinear Time Series
Semiparametric and Nonparametric Methods
Av Jiti Gao
Häftad, 2019
1039 kr
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Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve …
Components of Variance
Av D.R. Cox, P.J. Solomon
Häftad, 2019
1068 kr
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Identifying the sources and measuring the impact of haphazard variations are important in any number of research applications, from clinical trials and genetics to industrial design and psychometric testing. Only in very simple situations can such variations be represented effectively by …
Subset Selection in Regression
Av Alan Miller
Häftad, 2019
1039 kr
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Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition …
Accelerated Life Models
Modeling and Statistical Analysis
Av Vilijandas Bagdonavicius, Mikhail Nikulin
Häftad, 2019
1039 kr
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The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon …
Subjective Probability Models for Lifetimes
Häftad, 2019
1039 kr
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Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some fundamental concepts be …
Classification
Av A.D. Gordon
Häftad, 2019
1039 kr
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As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just …
Semimartingales and their Statistical Inference
Häftad, 2019
1039 kr
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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 engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic …
Time Series Models
In econometrics, finance and other fields
Av D.R. Cox, D.V. Hinkley m. fl.
Häftad, 2019
1039 kr
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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 taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints …
Multivariate Dependencies
Models, Analysis and Interpretation
Häftad, 2019
1039 kr
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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 …
Transformation and Weighting in Regression
Av Raymond J. Carroll, David Ruppert
Häftad, 2019
1039 kr
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This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to …
Predictive Inference
Häftad, 2019
1007 kr
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The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction …
Analysis of Quantal Response Data
Häftad, 2019
1007 kr
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This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements …
Analysis of Repeated Measures
Av Martin J. Crowder, David J. Hand
Häftad, 2020
1007 kr
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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 multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of …
Analysis of Infectious Disease Data
Av N.G. Becker
Häftad, 2019
1038 kr
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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 developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is …
Mixture Models
Parametric, Semiparametric, and New Directions
Inbunden, 2024
1820 kr
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Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. Mixture Models: Parametric, Semiparametric, and New Directions provides an up-to-date introduction to these models, their recent developments, and their …
Replication and Evidence Factors in Observational Studies
Inbunden, 2021
2124 kr
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Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans. How is that possible? If observed associations do not …
Introduction to Time Series Modeling with Applications in R
Häftad, 2022
790 kr
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Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in …
Models for Dependent Time Series
Av Granville Tunnicliffe Wilson, Marco Reale m. fl.
Häftad, 2020
848 kr
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Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and …
Bayesian Inference for Partially Identified Models
Exploring the Limits of Limited Data
Häftad, 2020
873 kr
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Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years …
Multi-State Survival Models for Interval-Censored Data
Häftad, 2020
862 kr
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Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book …
Joint Modeling of Longitudinal and Time-to-Event Data
Av Robert Elashoff, Gang li m. fl.
Häftad, 2020
843 kr
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Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival …
State-Space Methods for Time Series Analysis
Theory, Applications and Software
Av Jose Casals, Alfredo Garcia-Hiernaux m. fl.
Häftad, 2020
848 kr
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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 formulation written in state-space form. Moreover, it can accommodate with a reasonable effort nonstandard situations, such as observation errors, …
Nonparametric Models for Longitudinal Data
With Implementation in R
Av Colin O. Wu, Xin Tian
Häftad, 2020
740 kr
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Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era …
Multistate Models for the Analysis of Life History Data
Av Richard J Cook, Jerald F. Lawless
Häftad, 2020
761 kr
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Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks …
Multivariate Kernel Smoothing and Its Applications
Häftad, 2020
790 kr
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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 widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite …
