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COMPSTAT
This Volume contains the Keynote, Invited and Full Contributed papers presented at COMPSTAT'98. A companion volume (Payne & Lane, 1998) contains papers describing the Short Communications and Posters. COMPSTAT is a one-week conference held every two years under the auspices of the International Association of Statistical Computing, a section of the International Statistical Institute. COMPSTAT'98 is organised by IACR-Rothamsted, IACR-Long Ashton, the University of Bristol Department of Mathematics and the University of Bath Department of Mathematical Sciences. It is taking place from 24-28 August 1998 at University of Bristol. Previous COMPSTATs (from 1974-1996) were in Vienna, Berlin, Leide...
The Pulp Mystery MEGAPACK®
"This fine collection of vintage mysteries from the pulp magazines presents 13 tales sure to thrill the armchair detective. Included are: HANDS OF DOOM, by David H. Keller EVIDENCE, by Murray Leinster THE DRUMS OF DEATH, by J. Allan Dunn HAIR OF THE CAT, by Robert Turner HELL’S SIPHON, by George Harmon Coxe DIBBLE DABBLES IN DEATH, by David Wright O’Brien CLOSE TO MY HEART, by Chester S. Geier THE RAG-TAG GIRL, by Norbert Davis MASTER OF FEAR, by Frank Gruber GREEN-EYED VENGEANCE, by Arthur J. Burks A HUNDRED GRAND, by Mort Lansing DEAD MAN’S CHEST, by Norbert Davis $10,000 AN INCH, by Tedd Thomey If you enjoy this volume of our best-selling MEGAPACK® ebook series, check out the rest of the series! We have more than 400 volumes, covering mysteries, westerns, science fiction, romance, classics—and much, much more. Search your favorite ebook store for ""Wildside Press Megapack"" to see them all."
Functional Data Analysis
Included here are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, applied data analysts, and to experienced researchers; and as such is of value both within statistics and across a broad spectrum of other fields. Much of the material appears here for the first time.
Nonparametric Regression and Generalized Linear Models
In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts. The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time.
Wavelet Methods in Statistics with R
This book contains information on how to tackle many important problems using a multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations.
Bulletin
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Computational Economic Systems
A selection of 14 papers from a June 1994 meeting in Amsterdam illustrate the use of new computational methods and computing techniques to solve economic problems. The topics include investigating the evolution of behavior of economic agents, solving complex inventory models on a parallel computer, an original approach to constructing and solving multi-criteria models involving logical conditions, applying wavelets to outlier detection, new estimation algorithms, and solving nonlinear rational expectation models. Reproduced from typescripts. Annotation copyright by Book News, Inc., Portland, OR
