Titlebook: Analysis of Quantal Response Data; B. J. T. Morgan Book 1992 B. J. T. Morgan 1992 biochemistry.biology

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https://doi.org/10.1007/978-1-4899-4539-6biochemistry; biology

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Maximum-likelihood fitting of simple models,e the operation of this method, concentrating on the logit model as an illustration. More complex models are encountered in later chapters, and so there is some discussion of alternative numerical procedures that may be used for the maximum likelihood fitting of such models.

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Over-dispersion,er we shall present ways of relaxing the basic assumptions which result in these simple models. The main emphasis will be placed on extensions of the binomial distribution, and so the work will be particularly relevant to experiments in which it is litters, rather than individual animals, which are to be regarded as the experimental units.

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Monographs on Statistics and Applied Probabilityhttp://image.papertrans.cn/a/image/156425.jpg

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Specifying Direct Digital Control Systems,e the operation of this method, concentrating on the logit model as an illustration. More complex models are encountered in later chapters, and so there is some discussion of alternative numerical procedures that may be used for the maximum likelihood fitting of such models.

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https://doi.org/10.1007/978-1-4757-3395-2tion being made of the duration of the experiment. However, we note for example that the data of Table 2.1 were collected 1 hour after exposure to the chemical, and the data of Table 1.14 were obtained 96 hours after treatment. When times are cited, multiples of 24 hours are quite usual, as is the 7

agonist

https://doi.org/10.1007/978-1-349-04454-2er we shall present ways of relaxing the basic assumptions which result in these simple models. The main emphasis will be placed on extensions of the binomial distribution, and so the work will be particularly relevant to experiments in which it is litters, rather than individual animals, which are