Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Advances in Ranking and Selection, Multiple Comparisons, and Reliability
Author: N Balakrishnan
Publisher: Springer Science & Business Media
Total Pages: 460
Release: 2004-12-15
Genre: Mathematics
ISBN: 9780817632328

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Advances in Ranking and Selection, Multiple Comparisons, and Reliability
Author: N Balakrishnan
Publisher: Birkhäuser
Total Pages: 412
Release: 2008-11-01
Genre: Mathematics
ISBN: 9780817670368

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Advances in Ranking and Selection, Multiple Comparisons, and Reliability
Author: N. Balakrishnan
Publisher: Springer Science & Business Media
Total Pages: 439
Release: 2007-12-28
Genre: Mathematics
ISBN: 0817644229

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

Recent Advances in Statistical Ranking and Selection: Theory and Methods

Recent Advances in Statistical Ranking and Selection: Theory and Methods
Author: Shanti S. Gupta
Publisher:
Total Pages: 38
Release: 1990
Genre:
ISBN:

This paper reviews some recent developments in the research area of ranking and selection, mainly, on the following topics: (a) Selecting the largest normal mean and estimating the selected mean, (b) empirical Bayes selection, (c) selecting the important regression variables, (d) sequential selection rules, and (e) lower confidence bounds for the probability of a correct selection. Related theoretic and methodological research will be surveyed. Statistical tests; Equations; Mathematical models. (cp).

Recent Advances in Computational Terminology

Recent Advances in Computational Terminology
Author: Didier Bourigault
Publisher: John Benjamins Publishing
Total Pages: 400
Release: 2001-06-15
Genre: Language Arts & Disciplines
ISBN: 9027298165

This first collection of selected articles from researchers in automatic analysis, storage, and use of terminology, and specialists in applied linguistics, computational linguistics, information retrieval, and artificial intelligence offers new insights on computational terminology. The recent needs for intelligent information access, automatic query translation, cross-lingual information retrieval, knowledge management, and document handling have led practitioners and engineers to focus on automated term handling. This book offers new perspectives on their expectations. It will be of interest to terminologists, translators, language or knowledge engineers, librarians and all others dependent on the automation of terminology processing in professional practices. The articles cover themes such as automatic thesaurus construction, automatic term acquisition, automatic term translation, automatic indexing and abstracting, and computer-aided knowledge acquisition. The high academic standing of the contributors together with their experience in terminology management results in a set of contributions that tackle original and unique scientific issues in correlation with genuine applications of terminology processing.

Recent Advances in Intelligent Information Systems and Applied Mathematics

Recent Advances in Intelligent Information Systems and Applied Mathematics
Author: Oscar Castillo
Publisher: Springer Nature
Total Pages: 903
Release: 2020-01-31
Genre: Technology & Engineering
ISBN: 3030341526

This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.

Advances in Statistical Decision Theory and Applications

Advances in Statistical Decision Theory and Applications
Author: S. Panchapakesan
Publisher: Springer Science & Business Media
Total Pages: 478
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461223083

Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.