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Stephen L. Nelson (born 1959) is the author of more than 160 books about using personal computers, including Quicken for Dummies, QuickBooks for Dummies, MBA's Guide to Microsoft Excel, and Excel Data Analysis for Dummies.
MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]
The PDF for the estimated g values is also graphed, as it was in Figure 2; note that the PDF for the larger-time-variation case is skewed, and now the biased mean is clearly seen. The approximated (biased) mean and the mean observed directly from the data agree well.
In statistics, a generalized estimating equation (GEE) is used to estimate the parameters of a generalized linear model with a possible unmeasured correlation between observations from different timepoints.
DOS For Dummies, the first, published in 1991, whose first printing was just 7,500 copies [4] [5] Windows for Dummies, asserted to be the best-selling computer book of all time, with more than 15 million sold [4] L'Histoire de France Pour Les Nuls, the top-selling non-English For Dummies title, with more than 400,000 sold [4]
The Wheeler–DeWitt equation [1] for theoretical physics and applied mathematics, is a field equation attributed to John Archibald Wheeler and Bryce DeWitt. The equation attempts to mathematically combine the ideas of quantum mechanics and general relativity , a step towards a theory of quantum gravity .
Dan Gookin is a computer book author who wrote the first ...For Dummies books including DOS for Dummies and PCs for Dummies, establishing the design and voice of the long-running series that followed, incorporating humor and jokes into a format for beginners on any subject. He also is a member of the Coeur d'Alene City Council.
Topological data analysis and persistent homology have had impacts on Morse theory. [121] Morse theory has played a very important role in the theory of TDA, including on computation. Some work in persistent homology has extended results about Morse functions to tame functions or, even to continuous functions [ citation needed ] .