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The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliab...

Materie / parole chiave: Multivariate statistics; Multivariate analysis; Statistics; Mathematics

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a c...

Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The ...

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and...

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 pract...

Materie / parole chiave: Statistics; Estimation; Computer science; Econometrics; Mathematics; Engineering; Systems engineering

This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

Materie / parole chiave: Nonparametric statistics; Mathematical statistics; Probabilities; Variables (Mathematics)

Materie / parole chiave: Mathematical statistics; Probabilities; Mathematics

This paper presents a database containing 'ground truth' segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations ...

This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histogra...

Materie / parole chiave: Countable set; Mathematics; Finite set; Bounded function; Discrete mathematics; Combinatorics; Matching (statistics); Computational complexity theory; Time complexity; Set (abstract data type); Class (philosophy); Simple...

Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting

We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptor...