This work in the book identifies useful parameters of distributions determined by local greenhouse data, performs EDA using classical and modern techniques for modeling the data, discusses the impact of greenhouse gases on local temperature fluctuation. To do bootstrapping of greenhouse data, a new kind of hybrid random number generator is proposed which gives satisfactory results for smaller number of bootstrap samples. Finally, it finds the interrelationship between local and global temperature fluctuations after doing analysis on the dynamics of local and global warming evolution processes.
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