Introductory Statistics with R by Peter Dalgaard
The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations.-
R for SAS and SPSS Users
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Mixed-Effects Models in S and S-PLUS
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Software for Data Analysis
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Modern Applied Statistics with S
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The Grammar of Graphics
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Developing Statistical Software in Fortran 95
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An Introduction to Statistics with Python
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Basic Elements of Computational Statistics
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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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XploRe: An Interactive Statistical Computing Environment
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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
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Applied Quantitative Finance
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Visualization and Imputation of Missing Values
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Fundamentals of Supervised Machine Learning
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Variowin
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Numerical Bayesian Methods Applied to Signal Processing
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Introductory Statistics with R |
| Author | Peter Dalgaard |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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