Analysis of Quantal Response Data
1st Edition
Published on 13. December 2018
512 pages
978-1-351-46667-7 (ISBN)
Description
This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.
Reviews / Votes
"This book is a welcome addition to the analysis of dose-response quantal bioassays which are so important in toxicology and pharmacology...it contdains the best collection and description of all known methods in bioassays."-Short Book Reviews of the ISI
"...a thorough and readable reference..."
-Technometrics
"I believe that this book should be in the library of all applied statisticians...an excellent reference. It serves as a model for books on statistical methods in special areas and is a worthy successor to Finney's work, which has dominated the field for so long."
-Journal of the American Statistical Association
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
11,27 MB
ISBN-13
978-1-351-46667-7 (9781351466677)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Byron J.T. Morgan
Analysis of Quantal Response Data
Book
12/2019
1st Edition
Chapman & Hall/CRC
€76.74
Shipment within 15-20 days
Byron J. T. Morgan
Analysis of Quantal Response Data
Book
09/1992
Chapman and Hall
€106.99
Shipment within 10-20 days
Person
Content
1. Data, preliminary analyses and mechanistic models 2. Maximum-likelihood fitting of simple models 3. Extensions and alternatives 4. Extended models for quantal assay data 5. Describing time to response 6. Over-dispersion 7. Non-parametric and robust methods 8. Design and sequential methods
