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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.
The follow-up to the authors' previous book "Asymptotic Techniques", this text gives a systematic account of an important area of theoretical statistics - inference and asymptotics. It should be of interest to researchers in statistics.
This monograph brings together the older and newer ideas on the analysis of survival data to present a comprehensive account of the field.
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