PDF⋙ The Web Collection: Macromedia Flash MX, Dreamweaver MX, and Fireworks MX by Sherry Bishop, Jim Shuman, Barbara Waxer

The Web Collection: Macromedia Flash MX, Dreamweaver MX, and Fireworks MX by Sherry Bishop, Jim Shuman, Barbara Waxer

The Web Collection: Macromedia Flash MX, Dreamweaver MX, and Fireworks MX by Sherry Bishop, Jim Shuman, Barbara Waxer PDF, ePub eBook D0wnl0ad

Part of the Design Professional Series, this text offers coverage of Macromedia Flash MX and Fireworks animation, Web site development and design with Dreamweaver, as well as the integration of all three applications.

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PDF⋙ Semper Fi (The Corps, Book 1) by W.E.B. Griffin

Semper Fi (The Corps, Book 1) by W.E.B. Griffin

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From Shanghai to WAke Island, the Corps was America's first line of defense as the winds of war exploded into the devastating surprise attack on Pearl Harbor. Now, the bestselling author of the acclaimed BROTHERHOOD OF WAR saga brings to life the men of the Marine Corps--their loves and their loyalties--as they steeled themselves for battle, and prepared to make the ultimate sacrifice...

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PDF⋙ Funk & Wagnalls New Encyclopedia by Leon l bram

Funk & Wagnalls New Encyclopedia by Leon l bram

Funk & Wagnalls New Encyclopedia by Leon l bram PDF, ePub eBook D0wnl0ad

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PDF⋙ Dylan Thomas: A Literary Life (Literary Lives) by W. Christie

Dylan Thomas: A Literary Life (Literary Lives) by W. Christie

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Dylan Thomas: A Literary Life offers an account of the poet's life, along with a critical reading of his work, that is designed to close what has been called 'the yawning gap' between Dylan Thomas's popular and critical reputations.

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PDF⋙ Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series) by N. H. Bingham, John M. Fry

Regression: Linear Models in Statistics (Springer Undergraduate Mathematics Series) by N. H. Bingham, John M. Fry

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Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.

Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.

The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.

Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh’s Probability Models, and T. S. Blyth & E.F. Robertsons’ Basic Linear Algebra and Further Linear Algebra.

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