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Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and...

Now in its sixth edition, this book provides an accessible, comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probabil...

This book is designed to help novices in financial risk management get quick access to the world of credit risk. It is also helpful to risk managers looking for a more quantitative approach to cred...

This book is designed to help novices in financial risk management get quick access to the world of credit risk. It is also helpful to risk managers looking for a more quantitative approach to cred...

The second edition of this elemental handbook reviews the current state of theory and practice in the field while emphasizing a more practical/applied approach to IT topics such as information mana...

Focusing on the computational aspects of statistics rather than the theoretical, this handbook uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors i...

Fully revised to reflect SAS Version 8.1, the second edition of this popular handbook gives concise, straightforward descriptions of how to conduct a range of statistical analyses. The authors hav...

This expert compilation delivers a collection of successful database marketing methodologies for big data. It offers solutions to common problems in the database marketing industry, focusing on the...

This book describes group sequential stopping rules designed to reduce average study length and control Type I and Type II error probabilities. The authors present one-sided and two-sided tests, in...