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Handbook of Scan Statistics

BuchGebunden
Verkaufsrang130inMathematik
CHF593.00

Beschreibung

Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science.

This volume of the Handbook of Scan Statistics is a collection of forty chapters, authored by leading experts in the field, outlines the research and the breadthof applications of scan statistics to the numerous areas of science and technology listed above. These chapters present an overview of the theory, methods and computational techniques, related to research in the area of scan statistics and outline future developments. It contains extensive references to research articles, books and relevant computer software.

Handbook of Scan Statistics is an excellent reference for researchers and graduate students in applied probability and statistics, as well as for scientists in research areas where scan statistics are used. This volume may also be used as a textbook for a graduate level course on scan statistics.
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Details

ISBN/GTIN978-1-4614-8032-7
ProduktartBuch
EinbandGebunden
Erscheinungsdatum01.05.2024
Auflage2024
Seiten813 Seiten
SpracheEnglisch
MasseBreite 155 mm, Höhe 235 mm
IllustrationenXVI, 813 p. 148 illus., 64 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Artikel-Nr.15506424
KatalogBuchzentrum
Datenquelle-Nr.17947818
WarengruppeMathematik
Weitere Details

Über den/die AutorIn

Joseph Glaz has been recently appointed (effective July 1, 2011) as head of the Department of Statistics, University of Connecticut. He has co-authored 6 books; 4 of which published with either Birkhauser Boston or Springer New York. Glaz is the current editor-in-chief of the following Springer journal: Methodology and Computing in Applied Probability.

Honors and Awards include : election to the Connecticut Academy of Arts and Sciences (2011), elected fellow of the Institute of Mathematical Sciences (2009), AAUP Excellence in Research Award (2006), Abraham Wald Prize in Sequential Analysis (2006), elected fellow of the American Statistical Assoc. (2000), elected member of the International Statistical Institute (1999).

Most importantly, Joe Glaz has worked closely with Joseph Naus, the father of scan statistics, since this area of statistics was conceived around 1999.