Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end
Probability and statistics with R
β Scribed by Arnholt, Alan T.; Militino, Ana F.; Ugarte, MarΓa Dolores
- Publisher
- CRC Press
- Year
- 2016
- Tongue
- English
- Leaves
- 967
- Series
- Chapman & Hall/CRC textbooks in computing.
- Edition
- Second edition.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. Keeping pace with Read more...
β¦ Table of Contents
- What Is R? --
2. Exploring Data --
3. General Probability and Random Variables --
4. Univariate Probability Distributions --
5. Multivariate Probability Distributions --
6. Sampling and Sampling Distributions --
7. Point Estimation --
8. Confidence Intervals --
9. Hypothesis Testing --
10. Nonparametric Methods --
11. Experimental Design --
12. Regression.
β¦ Subjects
Probabilities -- Data processing;Statistics -- Data processing;R (Computer program language);MATHEMATICS -- Applied;MATHEMATICS -- Probability & Statistics -- General
π SIMILAR VOLUMES
Designed for an intermediate undergraduate course, <b>Probability and Statistics with R</b> shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs
Front cover; Chapter 1: A Brief Introduction to S; The Basics of S; Using S; Data Sets; Data Manipulation; S Structures; Mathematical Operations; Vectors; Sequences; Reading Data; Using scan(); Using read.table(); Using write(); Using dump() and source(); Logical Operators and Missing Values; Matric
<p style="margin:0px;">This text grew out of the authorβs notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the c