
XploRe: An Interactive Statistical Computing Environment by Sigbert Klinke
It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta- tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in- troduces graphics. The graphics are interactive and cover a wide range of dis- plays of statistical data.-
Introductory Statistics with R
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R for SAS and SPSS Users
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Mixed-Effects Models in S and S-PLUS
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The Grammar of Graphics
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An Introduction to Statistics with Python
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Developing Statistical Software in Fortran 95
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Software for Data Analysis
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Basic Elements of Computational Statistics
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Modern Applied Statistics with S-PLUS
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Modern Applied Statistics with S
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SAS for Data Analysis
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Visualizing Time
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Evolutionary Statistical Procedures
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Computer Intensive Methods in Statistics
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Local Regression and Likelihood
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Numerical Analysis for Statisticians
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Numerical Linear Algebra for Applications in Statistics
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Automatic Nonuniform Random Variate Generation
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Elements of Network Science
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Independent Random Sampling Methods
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Graphics of Large Datasets
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S Programming
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Computational Statistics
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Branch-and-Bound Applications in Combinatorial Data Analysis
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The R Software
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Random Number Generation and Monte Carlo Methods
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Elements of Computational Statistics
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A SAS/IML Companion for Linear Models
-
Applied Quantitative Finance
-
Visualization and Imputation of Missing Values
-
Fundamentals of Supervised Machine Learning
-
Variowin
-
Numerical Bayesian Methods Applied to Signal Processing
| SKU | Unavailable |
| ISBN 13 | 9780387944296 |
| ISBN 10 | 038794429X |
| Title | XploRe: An Interactive Statistical Computing Environment |
| Author | Sigbert Klinke |
| Series | Statistics And Computing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 1995-03-30 |
| Number of pages | 387 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































