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Bioassays with arthropods
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Bioassays with arthropods

Author: Jacqueline L Robertson; et al
Publisher: Boca Raton : CRC Press, ©2007.
Edition/Format:   Book : Document   Computer File : English : 2nd edView all editions and formats
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Material Type: Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Jacqueline L Robertson; et al
ISBN: 9780849323317 0849323312 1420004042 9781420004045
OCLC Number: 122309453
Notes: Rev. ed. of: Pesticide bioassays with arthropods / Jacqueline L. Robertson and Haiganoush K. Preisler.
Description: xxii, 199 p. : ill. ; 25 cm.
Contents: INTRODUCTION QUANTAL RESPONSE BIOASSAYS Types of Quantal Response Bioassays Experimental Design of Bioassays Computer Programs BINARY QUANTAL RESPONSE WITH ONE EXPLANATORY VARIABLE Terminology and General Statistical Model Statistical Methods BINARY QUANTAL RESPONSE: DATA ANALYSES PoloPlus ISAS R and SPlus BINARY QUANTAL RESPONSE: DOSE NUMBER, DOSE SELECTION, AND SAMPLE SIZE PoloDose Basic Binary Bioassays Specialized Binary Bioassays Practical Considerations Reality Checklist for Bioassays NATURAL VARIATION IN RESPONSE Definition Statistical Boundaries of Natural Variation Levels of Variation QUARANTINE STATISTICS Tolerance Distributions in Quarantine Security Ecological Approaches to Quarantine Security: Risk Conclusions STATISTICAL ANALYSES OF DATA FROM BIOASSAYS WITH MICROBIAL PRODUCTS Biological Units and Standards A Revised Definition of Relative Potency Effects of Natural Variation on Product Quality Conclusions PESTICIDE RESISTANCE Resistance Defined Natural Variation versus Resistance Use of Bioassays to Separate Populations and Strains Statistical Models of Modes of Resistance Inheritance Mixtures Independent, Uncorrelated Joint Action of Pesticide Mixtures Similar (Additive) Joint Action Other Theoretical Hypotheses of Joint Action of Pesticides Synergists Conclusions TIME AS A VARIABLE Purposes of Studies Involving Time Sampling Designs Analysis of Independent Time-Mortality Data Analysis of Serial Time-Mortality Data Conclusions BINARY QUANTAL RESPONSE WITH MULTIPLE EXPLANATORY VARIABLES Early Examples and Inefficient Alternatives A General Statistical Model Types of Variables in Multiple Regression Models Computer Programs Multiple Probit Analysis: An Example from PoloEncore Multiple Logit Analysis: Sample of Analysis with GLIM Conclusions MULTIPLE EXPLANATORY VARIABLES: BODY WEIGHT Effects of Erroneous Assumptions about Body Weight Testing the Hypothesis of Proportional Response When Body Weight Is a Significant Independent Variable Standardized Bioassay Techniques Involving Weight Conclusions POLYTOMOUS (MULTINOMIAL) QUANTAL RESPONSE Example The Multinomial Logit Model Conclusions IMPROVING PREDICTION BASED ON DOSE-RESPONSE BIOASSAYS Each chapter concludes with references
Responsibility: Jacqueline L. Robertson ... [et al.].
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"When the first edition of this book was published in 1992, senior entomologists and students alike breathed a sigh of relief. Suddenly, we had a reference written in tractable language and relatively Read more...

 
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