Statistical Models in S ebook

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

J. M. Chambers T.J. Hastie Biological Sciences English

Hastie T. Publisher: Chаpman and Hаll/C.

The authors of the present book, on the other hand, are Chambers and Hastie of AT&T (where S was invented), and they clearly understand the importance of detailed explanations of the theory underlying the S functions they describe. Just as important, in my opinion, they also describe the algorithms used by these functions.

Hastie T.

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Chambers . Hastie . Pregibon D. (1990) Statistical Models in S. In: Momirović . Mildner V. (eds) Compstat. Publisher Name Physica-Verlag HD. Print ISBN 978-3-7908-0475-1. Online ISBN 978-3-642-50096-1. eBook Packages Springer Book Archive.

Statistical Models in S. Pacific Grove, CA, USA: Wadsworth & Brooks/Cole. ACM honors Dr. John M. Chambers of Bell Labs with the 1998 ACM Software System Award for creating "S System" software, ACM press release, March 29, 1999. p. 624. ISBN 0-412-05291-1. Chambers, John M. (1998).

Recommend to Librarian.

Taylor & Francis, Oct 1, 1991 - Mathematics - 624 pages.

The single-phase Rayleigh model is a dynamic reliability model; however, it is not suitable for software release date prediction. We propose a new multi-phase truncated Rayleigh model and obtain parameter estimation using the nonlinear least squares method. The proposed model has been successfully tested in a large software company for several software projects. It is shown that the two-phase truncated Rayleigh model outperforms the traditional single-phase Rayleigh model in modeling weekly software defect arrival data

This is also called the White Book . Chambers (1998) Programming with Data. This is also called the Green Book . A. C. Davison and D. V. Hinkley (1997), Bootstrap Methods and Their Applications, Cambridge University Press

This is also called the White Book . Hinkley (1997), Bootstrap Methods and Their Applications, Cambridge University Press. Annette J. Dobson (1990), An Introduction to Generalized Linear Models, Chapman and Hall, London. Peter McCullagh and John A. Nelder (1989), Generalized Linear Models. John A. Rice (1995), Mathematical Statistics and Data Analysis.

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&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

Ichalote

Very good, very useful, with nice examples. I recommand it.

Fhois

This describes the panoply of programs available in the
R language for the exploration of data. One needs some
familiarity with statistics, but it is amazing to see what the
crew at AT&T has done with their "language."

Water

If you really want to know what you're doing when you use S, buy this book. Don't waste your money on a book like Venables and Ripley -- you will be sorely dissappointed, unless you just want a large collections of example calls to canned S routines. The authors of the present book, on the other hand, are Chambers and Hastie of AT&T (where S was invented), and they clearly understand the importance of detailed explanations of the theory underlying the S functions they describe. Just as important, in my opinion, they also describe the algorithms used by these functions. These two components are missing from other books (like the popular Venables and Ripley) but they are critical in order to know -- and be able to explain and justify to others -- how and why your statistical analyses were performed and what the results really mean. The other way of doing statistics (i.e. throwing canned procedures at your data and seeing what pretty graphs and figures you can produce) is meaningless.

Qusicam

I am in the process of learning R, the open source implementation of the S language. This book is one of the classics describing the original S language. While some small parts, of this book, are now out of date, it remains a great source, of information about the design and use of S and by extension, of R.