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An ABC of modelling. I. The deterministic view. 1. Growth and decay. Dynamical systems. 2. Equilibrium. 3. Optimal control and utility. II. Validating a model. 4. Validation: Accept, improve, or reject. III. The probabilistic view. 5. Birth and death. Probabilistic dynamics. 6. Stationary distributions. 7. Optimal decision and reward. IV. The art of application. 8. Using a model: Choice and estimation. 9. Building a model: Adapting, extending, and combining. V. Toward more advanced models. 10. Further dynamical systems. 11. Further flow and diffusion. 12. Further optimization. Epilogue. Appendix 1. A review of probability and statistics. Appendix 2. Models, sources, and further reading arranged by discipline. Solutions to selected exercises. References. Index.
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## Reviews p. 70 of the experiments of Vonder Decken and Hultin in which the exact composition of the incubation medium is detailed. In other places there are deficiencies in literature coverage and critical appraisal. On p. 22 the authors restricted their discussion of the carcinogenieity of halog