%0 Book %1 buonaccorsi2010measurement %A Buonaccorsi, John P. %D 2010 %I Chapman and Hall/CRC %K 62f10-parametric-inference-point-estimation 62p10-application-of-statistics-to-biology-and-medical-sciences-meta-analysis %R 10.1201/9781420066586 %T Measurement Error: Models, Methods, and Applications %U https://www.taylorfrancis.com/books/mono/10.1201/9781420066586/measurement-error-john-buonaccorsi %X Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu %@ 9780429150357

@book{buonaccorsi2010measurement, abstract = {Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu}, added-at = {2024-04-04T07:22:37.000+0200}, author = {Buonaccorsi, John P.}, biburl = {https://www.bibsonomy.org/bibtex/2fafa5fa752374a66b73f6f5cf9d3bd91/gdmcbain}, doi = {10.1201/9781420066586}, interhash = {fb9337ef6ead08ead5e70fd6765c3ba5}, intrahash = {fafa5fa752374a66b73f6f5cf9d3bd91}, isbn = {9780429150357}, keywords = {62f10-parametric-inference-point-estimation 62p10-application-of-statistics-to-biology-and-medical-sciences-meta-analysis}, month = mar, publisher = {Chapman and Hall/CRC}, timestamp = {2024-04-04T07:23:44.000+0200}, title = {Measurement Error: Models, Methods, and Applications}, url = {https://www.taylorfrancis.com/books/mono/10.1201/9781420066586/measurement-error-john-buonaccorsi}, year = 2010 }