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Journal ArticleDOI

Probit Analysis (3rd ed).

J. A. Lewis, +1 more
- 01 Jan 1972 - 
- Vol. 21, Iss: 2, pp 210
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This article is published in Applied statistics.The article was published on 1972-01-01. It has received 3368 citations till now. The article focuses on the topics: Probit model.

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Degradation of Biological Weapons Agents in the Environment: Implications for Terrorism Response

TL;DR: The current level of understanding and representation of environmental viability degradation in response models is inadequate to inform appropriate emergency response measures and confounds attempts to determine necessary medical and decontamination measures.
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Biphasic characteristic of interactions between stiripentol and carbamazepine in the mouse maximal electroshock-induced seizure model: a three-dimensional isobolographic analysis

TL;DR: 3D isobolographic findings suggest that the combination of STP with CBZ exerted biphasic characteristics of interactions in the MES test, despite the pharmacokinetic increase in CBZ content in plasma and brains of experimental animals.
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Monitoring of Acaricide Resistance in Two-Spotted Spider Mite (Tetranychus urticae) Populations from Rose Greenhouses in Korea

TL;DR: The eggs and adults of all field populations showed low resistance to milbemectin among the acaricides tested, but ‘Jincheon’ and ‘Buyo’ populations were more susceptible to both milbEMectin and bifenazate than susceptible strain.
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Intrinsic rate of increase and temperature coefficients of the aphid parasite Ephedrus californicus baker (Hymenoptera: Aphidiidae)

TL;DR: The demographic statistics and the temperature requirements for development of Ephedrus californicus Baker were determined under constant laboratory conditions and the potential use of E. califORNicus in the biological control of the lupine aphid, Macrosiphum albifrons Essig, in England is considered.
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Generalized linear models

TL;DR: The generalized linear model (GLM) as mentioned in this paper extends the classical linear model for continuous, normal responses to describe the relationship between one or more predictor variables x 1,…,xp and a wide variety of nonnormally distributed responses Y including binary, count, and positive-valued variates.
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