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Helps researchers understand the theory of the design of experiments so they can easily adapt general principles to their specialties. This book brings the theory to non-statisticians at a reasonable mathematical level so that they can apply and adapt the special designs.
This book describes the properties of stochastic probabilistic models and develops the applied mathematics of stochastic point processes. It is useful to students and research workers in probability and statistics and also to research workers wishing to apply stochastic point processes.
This monograph brings together the older and newer ideas on the analysis of survival data to present a comprehensive account of the field.
This is a revised analysis in which the aspect of primary concern takes one of just two possible forms - success, failure; survives, dies; correct, false; nondefective, defective etc. Such data are called binary methods and it studies how the probability of success depends on explanatory features.
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Ved å abonnere godtar du vår personvernerklæring.