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The Hype About Hydrogen: Fact and Fiction in the Race to Save the Climate is a book by Joseph J. Romm, published in 2004 by Island Press and updated in 2005. The book has been translated into German as Der Wasserstoff-Boom. [1] Romm is an expert on clean energy, advanced vehicles, energy security, and greenhouse gas mitigation. [2] [3]
Romm was born and grew up in Middletown, New York, the youngest of three sons of Al Romm (1926–1999), managing editor of the Times Herald-Record newspaper, [14] and Ethel Grodzins Romm, an author, journalist, [15] project manager, [16] CEO of an environmental technology company [17] and, later, chair of the Lyceum Society of the New York Academy of Sciences.
The book spends many pages refuting the "hydrogen myth" (see also Romm's previous book, The Hype about Hydrogen) and "the geo-engineering fantasy". [6] In Chapter 7, the book describes technology strategies that it claims would permit the U.S., over the next two decades, to cut its carbon dioxide emissions by two-thirds without increasing the ...
For example, an auditor may: physically examine inventory as evidence that inventory shown in the accounting records actually exists (existence assertion); inspect supporting documents like invoices to confirm that sales did occur (occurrence); arrange for suppliers to confirm in writing the details of the amount owing at balance date as evidence that accounts payable is a liability (rights ...
Hence, referring to a "nominal confidence level" or "nominal confidence coefficient" (e.g., as a synonym for nominal coverage probability) generally has to be considered tautological and misleading, as the notion of confidence level itself inherently implies nominality already. [a] The nominal coverage probability is often set at 0.95.
In statistics, asymptotic theory, or large sample theory, is a framework for assessing properties of estimators and statistical tests.Within this framework, it is often assumed that the sample size n may grow indefinitely; the properties of estimators and tests are then evaluated under the limit of n → ∞.
In statistics, a sequence of random variables is homoscedastic (/ ˌ h oʊ m oʊ s k ə ˈ d æ s t ɪ k /) if all its random variables have the same finite variance; this is also known as homogeneity of variance. The complementary notion is called heteroscedasticity, also known as heterogeneity of variance.
The sample maximum and minimum are the least robust statistics: they are maximally sensitive to outliers.. This can either be an advantage or a drawback: if extreme values are real (not measurement errors), and of real consequence, as in applications of extreme value theory such as building dikes or financial loss, then outliers (as reflected in sample extrema) are important.