HANDBOOK OF MEASUREMENT ERROR MODELS (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Yi, Gracy Y. [Editor] Delaigle, Aurore [Editor] Gustafson, Paul [Editor]

ISBN 10: 1138106402 / ISBN 13: 9781138106406

Edité par CRC Press, Boca Raton, Florida, 2021

A propos de cet article

Large Octavo, xiv, 577 pages. In Good condition. Grey and dark blue spine with white and dark blue lettering. Boards have mild shelving wear, mild finger-staining, scratches along front board joint, a small tear along rear board joint along tail, mild wear along rear board edges, mild wear along spine head and tail, and boards are shaken. Textblock has mild wear along head and tail edges of pages 151-205, mild staining along rear end-page and pastedown, mild wear along front and rear pastedowns, moderate wear along head and tail edges, and mild staining along edges. Shelved in ND-C. 1379688. FP New Rockville Stock.

N° de réf. du vendeur 1379688

Détails bibliographiques

• Titre: HANDBOOK OF MEASUREMENT ERROR MODELS (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
• Éditeur: CRC Press, Boca Raton, Florida
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1138106402
• ISBN à 13 chiffres: 9781138106406
• Reliure: Hardcover
• Édition: First Edition.
• Catalogues du vendeur:
  • Sciences, Math, Medicine, & Natural History

A propos de ce titre

Synopsis

Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

À propos de l?auteur

Grace Y. Yi is Professor of Statistics at the University of Western Ontario where she holds a Tier I Canada Research Chair in Data Science. She is a Fellow of the Institute of Mathematical Statistics (IMS), a Fellow of the American Statistical Association (ASA), and an Elected Member of the International Statistical Institute (ISI). She authored the monograph Statistical Analysis with Measurement Error or Misclassification (2017, Springer).

Aurore Delaigle is Professor at the School of Mathematics and Statistics at the University of Melbourne. She is a Fellow of the Australian Academy of Science, a Fellow of the Institute of Mathematical Statistics (IMS), a Fellow of the American Statistical Association (ASA), and an Elected Member of the International Statistical Institute (ISI). She is a past recipient of the George W. Snedecor Award from the Committee of Presidents of Statistical Societies (COPSS) and of the Moran Medal from the Australian Academy of Science.

Paul Gustafson is Professor and Head of the Department of Statistics at the University of British Columbia. He is a Fellow of the American Statistical Association, the 2020 Gold Medalist of the Statistical Society of Canada, and the author of the monograph Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments (2004, Chapman and Hall, CRC Press).