Learn IT - Books tags logistic

Logistic Regression: A Self-Learning Text

Springer, 2002

This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in...

Practical Methods for Design and Analysis of Complex Surveys (Statistics in Practice)

John Wiley & Sons, 2004

"As in the previous edition, this book is a good resource for practitioners and cross-disciplinary researchers who use data from complex survey designs." (Journal of the American Statistical Association, March 2006)

"The first edition of the book was one of the first books in the excellent Wiley U.K. series on...

The Essence of Multivariate Thinking: Basic Themes and Methods (Multivariate Applications)

Lawrence Erlbaum Associates, 2005

The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that the...

Dynamic and Robust Streaming in and between Connected Consumer-Electronic Devices (Philips Research Book Series)

Springer, 2005

Dynamic and Robust Streaming in and between Connected Consumer-Electronic Devices addresses a subject that is becoming more important over the years. On the one hand the arrival of home networks is imminent, and on the other hand we notice that chips integrate more and more functionality. The home network interconnects the Consumer...

Advanced Data Mining Techniques

Springer, 2008

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a...

Analyzing Receiver Operating Characteristic Curves With SAS (Sas Press Series)

SAS Institute, 2007

As a diagnostic decision-making tool, receiver operating characteristic (ROC) curves provide a comprehensive and visually attractive way to summarize the accuracy of predictions. They are extensively used in medical diagnosis and increasingly in fields such as data mining, credit scoring, weather forecasting, and psychometry. In this example-driven...

Statistics for Research (Wiley Series in Probability and Statistics)

John Wiley & Sons, 2004

Praise for the Second Edition

"Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The...

Getting Started With SAS Enterprise Miner 5.2

SAS Institute, 2006

SAS defines data mining as the process of uncovering hidden patterns in large amounts of data. Many industries use data mining to address business problems and opportunities such as fraud detection, risk and affinity analyses, database marketing, householding, customer churn, bankruptcy prediction, and...

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