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Statistical Analysis of Financial Data in S-plus

This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the;

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Analyzing Medical Data Using S-PLUS

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises;

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A Handbook of Statistical Analyses Using S-PLUS

introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Statistical Analysis of Financial Data

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Environmental Statistics with S-Plus

the add-on modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. The book presents data sets to explain statistical;

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Statistics for Environmental Biology and Toxicology

categorical data. For the more complex analyses, extensive examples including SAS and S-PLUS programming code are provided to assist the reader when;

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Statistical Computing

Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer;

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Analysis of Incomplete Multivariate Data

statistical languages S and S Plus. The software is available free of charge on the Internet.;

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Analysis of Incomplete Multivariate Data

in the statistical languages S and S Plus. The software is available free of charge on the Internet.;

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Robust Statistics

. * Covers regression methods for data mining applications. * Includes examples with real data and applications using the S-Plus robust statistics;

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An R and S Plus Companion to Multivariate Analysis

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on;

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Excel 2007 Data Analysis For Dummies

* Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and;

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Basic Computational Techniques for Data Analysis

use in data analysis. Basic Computational Techniques for Data Analysis illustrates the concepts used in economic and financial;

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Modeling Financial Time Series with S-Plus

using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the;

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Optimal Statistical Inference in Financial Engineering

literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference;

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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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Introduction To Computer-Intensive Methods Of Data Analysis In Biology

throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S;

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Introduction To Computer-Intensive Methods Of Data Analysis

throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S;

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The Special Data Dissemination Standard Plus

their development of sound statistical systems. The need for data standards was highlighted by the financial crises of the mid-1990s, in which;

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Statistical Analysis of Categorical Data

, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods;

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Statistical Analysis of Geographical Data

Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;

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Statistical Analysis of Geographical Data

Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;

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Regression Modeling with Actuarial and Financial Applications

to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets;

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Regression Modeling with Actuarial and Financial Applications

to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets;

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Modeling Survival Data

, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data;

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