Scan Statistics: Methods and Applications (Statistics for Industry and Technology) - Image 1

Price loading...

Birkhauser Scan Statistics: Methods and Applications (Statistics for Industry and Technology)

Name: Scan Statistics: Methods and Applications (Statistics for Industry and Technology)
Brand: Birkhauser

Computer Science

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology. Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics. The chapters are written by leading experts in the field of scan statistics. Key features include many current results and new directions for future research; challenging theoretical methodological research problems; presentation accessible to both statisticians and scientists from other disciplines where scan statistics are employed; emphasis on real-world applications to areas such as bioinformatics and biosurveillance; and extensive references to research articles, books, and relevant computer software. Scan Statistics is an excellent reference for graduate students and researchers in applied probability and statistics, as well as for scientists in biology, computer science, pharmaceutical science, medicine, geography, quality control, communications, and epidemiology. The work may also be used as a textbook for a graduate-level seminar on scan statistics.

Product Specifications

Brand: Birkhauser
Format: hardcover
ASIN: 0817647481
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 28 May 2009
Listed Since: 30 January 2009

Barcode

No barcode data available

Birkhauser Scan Statistics: Methods and Applications (Statistics for Industry and Technology)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

A Modern Approach to Probability Theory (Probability and Its Applications)

Birkhauser Advances in Statistical Methods for Health Sciences

Statistics in the Health Sciences: Theory, Applications, and Computing

Parametric Statistical Change Point Analysis: With Applications to Genetics, Medicine, and Finance

The Career of a Research Statistician: From Consulting to Theoretical Development (Statistics for Industry, Technology, and Engineering)

Adventures in Stochastic Processes

Wiley Statistical Advances in the Biomedical Sciences Book

Statistical Methods for Biostatistics and Related Fields

Bayesian Survival Analysis (Springer Series in Statistics)

Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)

Applied Probability: From Random Experiments to Random Sequences and Statistics

A First Course in Statistics for Signal Analysis (Statistics for Industry, Technology, and Engineering)

Statistics with Applications in Biology and Geology

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

Statistics with Applications in Biology and Geology

Advances in Data Analysis - Birkhauser Statistics Book

Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health)

Resampling Methods: A Practical Guide to Data Analysis

The Oxford Handbook of Functional Data Analysis

A Probability Path (Modern Birkhäuser Classics)

Springer Spatial Statistics and Modeling - Statistics Series

Modern Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)

Handbook of Big Data (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Applied Probability (Springer Texts in Statistics)