Statistical Models in S

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 department at AT&amp;T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

Computers & Technology

Hastie, T.J.

Chambers, J. M.

Programming Languages

Chapman and Hall/CRC

New S Language

This book provides documentation for a new version of the S system released in 1988. The New S Language enhances the features that have made S popular: interactive computing, flexible graphics, data management and a large collection of functions. The New S language features make possible new applications and higher-level programming, including a single unified language, user-defined functions as first-class objects, symbolic computations, more accurate numerical calculations and a new approach to graphics. S now provides direct interfaces to the powerful tool of the UNIX operating system and to algorithms implemented in Fortran and C.

Wilks, Allan R.

Becker, R. A.

The latest edition of this manual provides documentation for users of the statistical software system S.

S: An Interactive Environment for Data Analysis and Graphics

Extending The S System (Wadsworth Statistics/Probability Series)

Science & Math

Mathematics

This book provides documentation for a new version of the S system released in 1988. The new S enhances the features that have made S popular: interactive computing, flexible graphics, data management and a large collection of functions. The new S features make possible new applications and higher-level programming, including a single unified language, user defined functions as first-class objects, symbolic computations, more accurate numerical calculations and a new approach to graphics. S now provides direct interfaces to the poowerful tool of the UNIX operating system and to algorithms implemented in Fortran and C.

Computer Science

This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data ? even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.

Graphical Methods for Data Analysis

See the best price to sell, buy, or rent books by Chambers, J. M.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Chambers, J. M.

See the best price to sell, buy, or rent books by Chambers, J. M.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Statistical Models in S

Statistical Models in S

New S Language

S: An Interactive Environment for Data Analysis and Graphics

Extending The S System (Wadsworth Statistics/Probability Series)

New S Language

Graphical Methods for Data Analysis