Models for Dependent Time Series addresses the issues that arise and the metho...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...more
Drawing on the author s 45 years of experience in multivariate analysis Corres...Drawing on the author s 45 years of experience in multivariate analysis Correspondence Analysis in Practice Third Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of...more
There is a huge amount of literature on statistical models for the prediction ...There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer cardiovascular disease and chronic kidney disease. Current practice is to use prediction models based...more
Students cultivate learning techniques in school that emphasize procedural pro...Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This leads to efficient problem solving for familiar problems. However conducting novel research is an exercise in creative problem...more
The seventh volume in the SemStat series Statistical Methods for Stochastic Di...The seventh volume in the SemStat series Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to...more
Building on the wealth of material on practical approaches to descriptive anal...Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first and second editions this third edition further expands the topics covered and presents more step-by-step examples of modern...more
This book is a first course in probability and statistics using R. The book as...This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections...more
Statistical Methods for Spatial Data Analysis is a comprehensive treatment of ...Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis employing a model-based and frequentist approach that emphasizes the spatial domain. The authors deliver an...more
Combinatorics of Spreads and Parallelisms covers all known finite and infinite...Combinatorics of Spreads and Parallelisms covers all known finite and infinite parallelisms as well as the planes comprising them. It also presents a complete analysis of general spreads and partitions of vector spaces that provide groups enabling...more
Classification of Lipschitz Mappings Second Edition presents a systematic self...Classification of Lipschitz Mappings Second Edition presents a systematic self-contained treatment of a new classification of Lipschitz mappings and its applications particularly to metric fixed point theory. Suitable for readers interested in...more
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematical...Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be...more
With a focus on incorporating sensible prior distributions and discussions on ...With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies Bayesian Thinking in Biostatistics considers statistical issues in biomedical research.more