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19 result(s) for "Ocean Miscellanea."
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Megalodons, mermaids, and climate change : answers to your ocean and atmosphere questions
\"From mythical marine creatures to wacky weather questions, marine scientist Ellen Prager and meteorologist Dave Jones have spent years responding to oft-repeated misinformation and misunderstandings about the ocean and atmosphere. Their colleagues get many of the same questions, time after time. (Should you pee on a jellyfish sting? Do Megalodons still exist? What about mermaids? Can a person be swallowed by a whale? Why is my local forecast for rain wrong all the time?) In this book, the authors use humor, storytelling, and their personal experiences to showcase science misunderstandings related to topics in their fields of expertise: the ocean, marine life, weather, and climate change. In each topical chapter, the authors will present and answer frequently asked and often wacky questions and include additional and relevant information about the subject matter. For example, is the Bermuda Triangle supernatural? Does climate change cause hurricanes? The chapters increase in complexity over the course of the book, from simple yes/no questions (Are mermaids real?) to the very complex topic of climate change. Concluding chapters explore where ocean and climate misinformation originates and how to find trusted sources of information and data in these areas\"-- Provided by publisher.
The Gulf Stream : tiny plankton, giant bluefin, and the amazing story of the powerful river in the Atlantic / Stan Ulanski
An illustrated introduction to one of the Earth's great natural wonders explores the science and history of the sea highway known as the Gulf Stream and reveals how the Gulf Stream affects, and is affected by, every living thing that encounters it.
Time series decomposition
A constructive result on time series decomposition is presented and illustrated. Developed through dynamic linear models, the decomposition is useful in analysis of an observed time series through inference about underlying, latent component series that may have physical interpretations. Particular special cases include state space autoregressive component models, in which the decomposition is useful for isolating latent, quasi-cyclical components, in particular. Brief summaries of analyses of some geological records related to climatic change illustrate the result.
Sample size for Poisson regression
For the Poisson regression model, an exact expression for Fisher's information matrix, based upon the moment generating function of the distribution of covariates, is calculated. This parallels a similar, approximate, calculation by Whittemore (1981) for logistic regression. The resulting asymptotic variance of the maximum likelihood estimate of the parameters is used to calculate the sample size required to test hypotheses about the parameters at a specified significance and power. Methods for calculating sample size are derived for various distributions of a single covariate, and for a family of multivariate exponential-type distributions of multiple covariates. The procedures are illustrated with two examples.