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Missing Data in Longitudinal Studies
Taylor & Francis 2008; US$ 89.95Focuses on how to handle missing data in longitudinal studies, offering coverage of models for longitudinal data, missing data mechanisms, and various approaches to sensitivity analysis. This book presents an overview of methods for dealing with missing data, with particular emphasis on handling dropout and causal inference. more...
Optimal Statistical Inference in Financial Engineering
Taylor & Francis 2007; US$ 109.95Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference in Financial Engineering examines how stochastic models can effectively describe... more...
Inference for Change Point and Post Change Means After a Cusum Test
Springer 2007; US$ 94.99Studies the bias of estimators and construction of corrected confidence intervals for change-point and post-change parameters after a change is detected by using a CUSUM procedure. This monograph includes case studies based on data sets from river flow, accident interval, stock prices, and global warming. more...
The Frailty Model
Springer 2007; US$ 84.99Discusses the statistical analysis of clustered survival data. This book presents different methods based on the frailty model and demonstrates how they can be used to analyse clustered survival data. more...
Robust Estimation and Hypothesis Testing
New Age International Pvt. Ltd., Publishers 2004; US$ 35.00In statistical theory and practice, a certain distribution is usually assumed and then optimal solutions sought. Since deviations from an assumed distribution are very common, one cannot feel comfortable with assuming a particular distribution and believing it to be exactly correct. That brings the robustness issue in focus. In this book, we have given... more...
Data Manipulation with R
Springer 2008; US$ 69.95Everyone using R needs to work with data, data almost always comes from an external source that has to be imported into R. The tasks covered in this book are essential tasks in R. more...
Statistics of Extremes
Wiley 2006; US$ 141.00Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major... more...
The Complete Idiot's Guide to Statistics, 2nd Edition
DK Publishing 2005; US$ 19.95Not a numbers person? No problem! This new edition is aimed at high school and college students who need to take statistics to fulfill a degree requirement and follows a standard statistics curriculum. Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more. -Emphasizes... more...
Dynamic Linear Models with R
Springer 2009; US$ 64.99State space models have gained tremendous popularity in as disparate fields as engineering, economics, genetics and ecology. Introducing general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. It illustrates the fundamental steps needed to use dynamic linear models in practice, using R package. more...
Approximation Theorems of Mathematical Statistics
Wiley 2009; US$ 220.00Approximation Theorems of Mathematical Statistics This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of... more...









