logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Handbook of Item Response Theory, Three Volume Set - by Van der Linden, Wim J ISBN 9781315119144, 9781466514324, 9781482282474, 1315119145, 1466514329, 148228247X

  • SKU: EBN-7160182
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.5

36 reviews
Instant download (eBook) Handbook of Item Response Theory, Three Volume Set - after payment.
Authors:Van der Linden, Wim J
Pages:427 pages.
Year:2017
Editon:First edition
Publisher:CRC Press
Language:english
File Size:57.16 MB
Format:pdf
ISBNS:9781315119144, 9781466514324, 9781482282474, 1315119145, 1466514329, 148228247X
Categories: Ebooks

Product desciption

(Ebook) Handbook of Item Response Theory, Three Volume Set - by Van der Linden, Wim J ISBN 9781315119144, 9781466514324, 9781482282474, 1315119145, 1466514329, 148228247X

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void.
Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products