Posted by **tanas.olesya** at Nov. 23, 2015

English | July 2002 | ISBN: 0387954562 | 439 Pages | PDF | 13 MB

This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the S-PLUS manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS through the use of many examples.

Posted by **mox1x2** at Oct. 9, 2007

Number Of Pages: 410 | Publisher: Springer(2007-09-05) | ISBN: 0387210164 | English | PDF | 4.9 MB

In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management, and this trend will only accelerate in the coming years. Unfortunately there is a large gap between the limited treatment of portfolio construction methods that are presented in most university courses with relatively little hands-on experience and limited computing tools, and the rich and varied aspects of portfolio construction that are used in practice in the finance industry. Current practice demands the use of modern methods of portfolio construction that go well beyond the classical Markowitz mean-variance optimality theory and require the use of powerful scalable numerical optimization methods. This book fills the gap between current university instruction and current industry practice by providing a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods. The computational aspect of the book is based on extensive use of S-Plus®, the S+NuOPT™ optimization module, the S-Plus Robust Library and the S+Bayes™ Library, along with about 100 S-Plus scripts and some CRSP® sample data sets of stock returns. A special time-limited version of the S-Plus software is available to purchasers of this book

Posted by **step778** at April 7, 2016

2002 | pages: 325 | ISBN: 0761922792 | PDF | 66,4 mb

Posted by **tanas.olesya** at Nov. 28, 2015

English | 12 Apr. 2001 | ISBN: 0805836233 | 388 Pages | CHM | 2 MB

Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary.

Posted by **tanas.olesya** at Oct. 2, 2015

English | 11 Oct. 2007 | ISBN: 1852338822 | 229 Pages | PDF | 40 MB

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R.

Posted by **BUGSY** at Aug. 31, 2015

English | Sep. 12, 2003 | ISBN: 0387400818 | 241 Pages | PDF | 1 MB

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition.

Posted by **BUGSY** at June 23, 2015

English | July 1, 2005 | ISBN: 0387261095 | 455 Pages | PDF | 2 MB

Can be used as an introduction to R, as well as S-PLUS

New exercises have been added; Includes a comparison of S-PLUS and R

Posted by **BUGSY** at June 2, 2015

English | Sep 21, 2000 | ISBN: 0849371686 | 823 Pages | PDF | 4 MB

A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them.

Posted by **BUGSY** at May 20, 2015

English | 2001 | ISBN: 144193166X | 518 Pages | PDF | 13 MB

Providing a general guide to statistical methods used in the pharmaceutical industry, and illustrating how to use S-PLUS to implement these methods, the book explains why S-PLUS is a useful software package and discusses the results and implications of each particular application.

Posted by **bookwyrm** at Dec. 11, 2014

2002 | 264 Pages | ISBN: 0387953981 | PDF | 7 MB