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Theory of Rank Testsby Zbynek Sidak; Pranab K. Sen; Jaroslav Hajek
Elsevier 1999; US$ 112.00The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional... more...
Scientific Data Ranking Methodsby Manuela Pavan; Roberto Todeschini
Elsevier 2008; US$ 190.00The aim of this volume is to present the basic mathematical aspects of the ranking methods using a didactical approach and to explain their use through examples of relevant applications in different scientific fields. Ranking methods can be applied in several different fileds, such as decision support, toxicology, EU priority lists of toxic chemicals, environmental problems, proteomics and genomics, analytical chemistry, food chemistry and QSAR. . Covers a wide range of applications, from the environment and toxicology to DNA sequencing . Incorporates contributions from renowned experts in the field . Meets the increasing demand for literature concerned with ranking methods and their applications more...
Ranking and Prioritization for Multi-indicator Systemsby Rainer Brüggemann; Ganapati P. Patil
Springer 2011; US$ 129.00This book provides axioms of partial order and some basic material, for example consequences of "criss-crossing" of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what 'antagonistic indicator' means. more...
Who's #1?by Amy N. Langville; Carl D. Meyer
Princeton University Press 2012; US$ 29.95A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides,... more...
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