# Statistical Models in S ebook

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

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.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Statistical Models in S.

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 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.