Statistics & Computing Books

New and Published Books – Page 13

121. Graphical Belief Modeling

     By Russel .G Almond

     This innovative volume explores graphical models using belief functions as a representation of uncertainty, offering an alternative approach to problems where probability proves inadequate. Graphical Belief Modeling makes it easy to compare the two approaches while evaluating their relative...

     Published November 29th 1995 by Chapman and Hall/CRC
122. Cyclic and Computer Generated Designs, Second Edition

     By J.A. John, E.R. Williams

     Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

     Cyclic and Computer Generated Designs is a much-expanded and updated version of the well-received monograph, Cyclic Designs . The book is primarily concerned with the construction and analysis of designs with a number of different blocking structures, such as revolvable designs, row-column designs,...

     Published August 31st 1995 by Chapman and Hall/CRC
123. An Introduction to the Bootstrap

     By Bradley Efron, R.J. Tibshirani

     Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

     Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as...

     Published May 14th 1994 by Chapman and Hall/CRC
124. A Handbook of Small Data Sets

     By David J. Hand, Fergus Daly, K. McConway, D. Lunn, E. Ostrowski

     Published October 31st 1993 by Chapman and Hall/CRC
125. Computer Intensive Statistical Methods

     Validation, Model Selection, and Bootstrap

     By J. S. Urban. Hjorth

     Published October 31st 1993 by Chapman and Hall/CRC
126. Modelling Covariances and Latent Variables Using EQS

     By G Dunn, Brian S. Everitt, Andrew Pickles

     Published July 31st 1993 by Chapman and Hall/CRC
127. Nonparametric Regression and Generalized Linear Models

     A roughness penalty approach

     By P.J. Green, Bernard. W. Silverman

     Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

     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...

     Published April 30th 1993 by Chapman and Hall/CRC
128. Algorithms, Routines, and S-Functions for Robust Statistics

     By Alfio Marazzi

     ROBETH (written in ANSI FORTRAN 77) is a systematized collection of algorithms that allows computation of a broad class of procedures based on M- and high-breakdown point estimation, including robust regression, robust testing of linear hypotheses, and robust coveriances.This book describes the...

     Published January 31st 1993 by Chapman and Hall/CRC
129. Statistical Models in S

     Edited by J. M. Chambers, T.J. Hastie

     Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research...

     Published September 30th 1991 by Chapman and Hall/CRC
130. Applied Statistics

     Handbook of GENSTAT Analysis

     By E. J. Snell, H. Simpson

     Series: Chapman & Hall/CRC Texts in Statistical Science

     GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis.The great flexibility...

     Published March 31st 1991 by Chapman and Hall/CRC