Skip to main content Accessibility help
×
Home
Hostname: page-component-7ccbd9845f-jxkh9 Total loading time: 0.649 Render date: 2023-01-30T22:24:58.652Z Has data issue: true Feature Flags: { "useRatesEcommerce": false } hasContentIssue true

Preface to the First Edition

Published online by Cambridge University Press:  01 June 2011

John F. Monahan
Affiliation:
North Carolina State University
Get access

Summary

This book grew out of notes for my Statistical Computing course that I have been teaching for the past 20 years at North Carolina State University. The goal of this course is to prepare doctoral students with the computing tools needed for statistical research, and I have augmented this core with related topics that through the years I have found useful for colleagues and graduate students. As a result, this book covers a wide range of computational issues, from arithmetic, numerical linear algebra, and approximation, which are typical numerical analysis topics, to optimization and nonlinear regression, to random number generation, and finally to fast algorithms. I have emphasized numerical techniques but restricted the scope to those regularly employed in the field of statistics and dropped some traditional numerical analysis topics such as differential equations. Many of the exercises in this book arose from questions posed to me by colleagues and students.

Most of the students that I have taught come with a graduate level understanding of statistics, no experience in numerical analysis, and little skill in a programming language. Consequently, I cover only about half of this material in a one-semester course. For those with a background in numerical analysis, a basic understanding of two statistical topics, regression and maximum likelihood, would be necessary.

I would advise any instructor of statistical computing not to shortchange the fundamental topic of arithmetic.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×