Probability and statistics with R

Select an Action

Title:

Author:

Ugarte, María Dolores.

ISBN:

9781584888918

Personal Author:

Ugarte, María Dolores.

Publication Information:

Boca Raton : CRC Press, 2008.

Physical Description:

xxxvi, 700 p. : ill. ; 26 cm.

General Note:

Formerly CIP.

Contents:

1. A Brief Introduction to S -- 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 -- A. S Commands -- B. Quadratic Forms and Random Vectors and Matrices.

Abstract:

"Probability and Statistics with R shows 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-of-chapter problems, and illuminating graphs to facilitate hands-on comprehension.".

"Integrating theory with practice, the text briefly introduces the syntax, structures, and functions of the S language, before covering important graphically and numerically descriptive methods. The next several chapters elucidate probability and random variables topics, including univariate and multivariate distributions. After exploring sampling distributions, the authors discuss point estimation, confidence intervals, hypothesis testing, and a wide range of nonparametric methods. With a focus on experimental design, the book also presents fixed- and random-effects models as well as randomized block and two-factor factorial designs. The final chapter describes simple and multiple regression analyses." "This comprehensive book presents extensive treatments of data analysis using parametric and nonparametric techniques. It effectively links statistical concepts with R procedures, enabling the application of the language to the vast world of statistics."--BOOK JACKET.

Subject Term:

Probabilities -- Data processing.

Statistics -- Data processing.

R (Computer program language)

Added Author:

Militino, Ana F.

Arnholt, Alan.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025595139	519.20285 U26P 2008	1	Searching... Unknown

Bound With These Titles

On Order

Summary

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-of-chapter problems, and illuminating graphs to facilitate hands-on learning.

Integrating theory with practice, the text briefly introduces the syntax, structures, and functions of the S language, before covering important graphically and numerically descriptive methods. The next several chapters elucidate probability and random variables topics, including univariate and multivariate distributions. After exploring sampling distributions, the authors discuss point estimation, confidence intervals, hypothesis testing, and a wide range of nonparametric methods. With a focus on experimental design, the book also presents fixed- and random-effects models as well as randomized block and two-factor factorial designs. The final chapter describes simple and multiple regression analyses.

Demonstrating that R can be used as a powerful teaching aid, this comprehensive text presents extensive treatments of data analysis using parametric and nonparametric techniques. It effectively links statistical concepts with R procedures, enabling the application of the language to the vast world of statistics.