Author: Royal Statistical SocietyPublisher:
ISBN:
Category :
Languages : en
Pages : 5
Book Description
The Generalised Linear Interactive Modelling System (GLIM) Manual
Author: Royal Statistical SocietyPublisher:
ISBN:
Category :
Languages : en
Pages : 5
Book Description
The GLIM System, Generalised Linear Interactive Modelling Release 3
Author: Richard J. S. BakerThe GLIM System, Release 3.77
Author: C. D. PaynePublisher:
ISBN:
Category : Computer software
Languages : en
Pages : 46
Book Description
The GLIM system, release 3 : generalised linear interactive modelling ; manual
Author: Robert J. BakerPublisher:
ISBN:
Category : Statistics
Languages : en
Pages :
Book Description
The GLIM System
Author: R. Jacob BakerThe GLIM System
Author: Brian FrancisPublisher: Oxford University Press, USA
ISBN:
Category : Mathematics
Languages : en
Pages : 848
Book Description
In statistics, fitting linear models to data is a general theme. This manual describes how GLIM 4--the popular software package--may be used for statistical analysis, including data manipulation and display, model fitting, and prediction. The manual has been divided into three distinct guides. The User Guide introduces and illustrates all the facilities in GLIM 4. Each chapter describes the directives relevant to a particular type of activity involved in the statistical modelling of data. The Modelling Guide presents a broad array of examples which comprise an effective introduction for new users. The Reference Guide contains a formal description of the syntax and semantics of the GLIM 4 language, of the data structures it handles, and of the directives provided, constituting a reference manual for the experienced user. This book is sure to be useful to research statisticians wherever GLIM is used.
The GLIM System Release 3
Author: R. J. BakerThe Generalised Linear Interactive Modelling System
Author: GLIM Manual
Author: J. A. NelderDirections in Robust Statistics and Diagnostics
Author: Werner StahelPublisher: Springer Science & Business Media
ISBN: 1461244447
Category : Mathematics
Languages : en
Pages : 384
Book Description
This IMA Volume in Mathematics and its Applications DIRECTIONS IN ROBUST STATISTICS AND DIAGNOSTICS is based on the proceedings of the first four weeks of the six week IMA 1989 summer program "Robustness, Diagnostics, Computing and Graphics in Statistics". An important objective of the organizers was to draw a broad set of statisticians working in robustness or diagnostics into collaboration on the challenging problems in these areas, particularly on the interface between them. We thank the organizers of the robustness and diagnostics program Noel Cressie, Thomas P. Hettmansperger, Peter J. Huber, R. Douglas Martin, and especially Werner Stahel and Sanford Weisberg who edited the proceedings. A vner Friedman Willard Miller, Jr. PREFACE Central themes of all statistics are estimation, prediction, and making decisions under uncertainty. A standard approach to these goals is through parametric mod elling. Parametric models can give a problem sufficient structure to allow standard, well understood paradigms to be applied to make the required inferences. If, how ever, the parametric model is not completely correct, then the standard inferential methods may not give reasonable answers. In the last quarter century, particularly with the advent of readily available computing, more attention has been paid to the problem of inference when the parametric model used is not correctly specified.