Analysis of Quantal Response Data
Published on 1. September 1992
Book
Paperback/Softback
XX, 511 pages
978-0-412-31750-7 (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
Softcover reprint of the original 1st ed. 1992
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
XX, 511 p.
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 29 mm
Weight
662 gr
ISBN-13
978-0-412-31750-7 (9780412317507)
DOI
10.1007/978-1-4899-4539-6
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
E-Book
12/2018
1st Edition
Chapman & Hall/CRC
€86.99
Available for download
Byron J.T. Morgan
Analysis of Quantal Response Data
E-Book
12/2018
1st Edition
Chapman & Hall/CRC
€86.99
Available for download
Person
Morgan\, Byron J.T.
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