|aData analysis and approximate models :|bmodel choice, location-scale, analysis of variance, nonparametic regression and image analysis /|cLaurie Davies.
|aModel choice, location-scale, analysis of variance, nonparametic regression and image analysis
|aBoca Raton, FL :|bCRC Press,|cc2014.
|aBoca Raton, FL :|bCRC Press,|c
|axvi, 304 pages :|billustrations ;|c25 cm.
|aMonographs on statistics and applied probability ;|v133
|aIncludes bibliographical references (pages 287-300) and index.
|aIntroduction -- A concept of approximation -- Discrete models -- Outliers -- The location-scale problem -- The analysis of variance -- Non-parametric regression: location -- Non-parametric regression: scale -- Image analysis -- Non-parametric densities -- A critique of statistics.
|a"This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust statistics and nonparametric statistics and can be used to study nearly any statistical technique. The book also includes an interesting discussion of the frequentist versus Bayesian debate in statistics."--|cProvided by publisher.