Maria L. Rizzo's Books

Statistical Computing with R, Second Edition

By: Maria L. Rizzo

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Statistical Computing with R, Second Edition

By: Maria L. Rizzo

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Page Count

380

Publisher

CRC Press

Published Date

ISBN 10

0429527764

ISBN 13

9780429527760

The Energy of Data and Distance Correlation

By: Gabor J. Szekely,Maria L. Rizzo

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The Energy of Data and Distance Correlation

By: Gabor J. Szekely,Maria L. Rizzo

Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical observations. Energy statistics are functions of distances between statistical observations in metric spaces. The authors hope this book will spark the interest of most statisticians who so far have not explored E-statistics and would like to apply these new methods using R. The Energy of Data and Distance Correlation is intended for teachers and students looking for dedicated material on energy statistics, but can serve as a supplement to a wide range of courses and areas, such as Monte Carlo methods, U-statistics or V-statistics, measures of multivariate dependence, goodness-of-fit tests, nonparametric methods and distance based methods. •E-statistics provides powerful methods to deal with problems in multivariate inference and analysis. •Methods are implemented in R, and readers can immediately apply them using the freely available energy package for R. •The proposed book will provide an overview of the existing state-of-the-art in development of energy statistics and an overview of applications. •Background and literature review is valuable for anyone considering further research or application in energy statistics.

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Page Count

467

Publisher

CRC Press

Published Date

ISBN 10

1482242753

ISBN 13

9781482242751

Statistical Computing with R, Second Edition

By: Maria L. Rizzo

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Statistical Computing with R, Second Edition

By: Maria L. Rizzo

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Page Count

380

Publisher

CRC Press

Published Date

ISBN 10

0429527764

ISBN 13

9780429527760

Statistical Computing with R

By: Maria L. Rizzo

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Statistical Computing with R

By: Maria L. Rizzo

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. Suitable for an introductory course in computational statistics or for self-study, it includes R code for all examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introduction to the R computing environment, the book reviews some basic concepts in probability and classical statistical inference. Each subsequent chapter explores a specific topic in computational statistics. These chapters cover the simulation of random variables from probability distributions, the visualization of multivariate data, Monte Carlo integration and variance reduction methods, Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. The final chapter presents a selection of examples that illustrate the application of numerical methods using R functions. Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing.

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Page Count

412

Publisher

CRC Press

Published Date

ISBN 10

1584885459

ISBN 13

9781584885450

Soft Sensors for Monitoring and Control of Industrial Processes

By: Luigi Fortuna,Salvatore Graziani,Alessandro Rizzo,Maria Gabriella Xibilia

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Soft Sensors for Monitoring and Control of Industrial Processes

By: Luigi Fortuna,Salvatore Graziani,Alessandro Rizzo,Maria Gabriella Xibilia

This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.

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Page Count

284

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1846284805

ISBN 13

9781846284809

R by Example

By: Jim Albert,Maria Rizzo

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R by Example

By: Jim Albert,Maria Rizzo

R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.

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Page Count

359

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461413656

ISBN 13

9781461413653

Book's by Maria L. Rizzo

Statistical Computing with R, Second Edition

Statistical Computing with R, Second Edition

The Energy of Data and Distance Correlation

The Energy of Data and Distance Correlation

Statistical Computing with R, Second Edition

Statistical Computing with R, Second Edition

Statistical Computing with R

Statistical Computing with R

Soft Sensors for Monitoring and Control of Industrial Processes

Soft Sensors for Monitoring and Control of Industrial Processes

R by Example

R by Example

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