- ホーム
- > 洋書
- > 英文書
- > Nature / Ecology
Full Description
Imagine a statistics book for bioassays written by a statistician. Next, imagine a statistics book for bioassays written for a layman. Bioassays with Arthropods, Third Edition offers the best of both worlds by translating the terse, precise language of the statistician into language used by the laboratory scientist. The book explains the statistical basis and analysis for each kind of quantal response bioassay in just the right amount of detail. The first two editions were a great reference for designing, conducting, and interpreting bioassays: this completely revised and updated third edition will also train the laboratory scientist to be an expert in estimation of dose response curves.
New in the Third Edition:
Introduces four new Windows and Apple-based computer programs (PoloJR, OptiDose, PoloMixture and PoloMulti) for the analyses of binary and multiple response analyses, respectively
Replaces out-of-date GLIM examples with R program samples
Includes a new chapter, Population Toxicology, and takes a systems approach to bioassays
Expands the coverage of invasive species and quarantine statistics
Building on the foundation set by the much-cited first two editions, the authors clearly delineate applications and ideas that are exceptionally challenging for those not already familiar with their use. They lead you through the methods with such ease and organization, that you suddenly find yourself readily able to apply concepts that you never thought you would understand.
To order the PoloSuite computer software described in Bioassays with Arthropods, Third Edition, use the order form found at www.leora-software.com or contact the LeOra Software Company at leorasoftware@gmail.com.
Contents
Introduction. Quantal Response Bioassays. Binary Quantal Response with One Explanatory Variable. Binary Quantal Response: Data Analyses. Binary Quantal Response: Dose Number, Dose Selection, and Sample Size. Natural Variation in Response. Quarantine Statistics. Statistical Analyses of Data from Bioassays with Microbial Products. Pesticide Resistance. Mixtures. Time as a Variable. Binary Quantal Response with Multiple Explanatory Variables. Multiple Explanatory Variables: Body Weight. Polytomous (Multinominal) Quantal Response. Improving Prediction Based on Dose-Response Bioassays.
