Stochastic Models Of Fluctuations Of Local And Global Warming - Hussain, Muhammad Arif
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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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Produktbeschreibung
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.
Autorenporträt
Professor Dr M Arif Hussain Research interest in subjects of mathematical sciences. Dr. Arif is a nationally and internationally recognised as active researcher. He contributed comment and opinion on possible errors in the international edition Calculus and Data Analysis books. He has published more than 26 research articles in journals.