If you love romance up on the silver screen, this quiz deckâ€™s got a date with you! From City Lights to Casablanca, from Gone With the Wind to Ghostâ€”Swept Away tests your knowledge of romantic movies in a Q&A format enriched by informed, engaging prose. The 48 cards pose questions about plots, actors, directors, screenwriters, and more: Which fairytale romance launched Audrey Hepburn into stardom? What glamorous Hollywood icon graced the 1939 comedy Ninotchka? How many of Bill Murrayâ€™s romantic roles can you name? The card backs have the answers, along with entertaining background notes. Surveying eight decades of romance films, Swept Away is equally enjoyable as a solo read or lively multiplayer trivia game. Pass the popcorn, please!
WILEY-INTERSCIENCE PAPERBACK SERIES <p> The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. <p> From the Reviews of Nonlinear Regression <p> "A very good book and an important one in that it is likely to become a standard reference for all interested in nonlinear regression; and I would imagine that any statistician concerned with nonlinear regression would want a copy on his shelves."<br> –The Statistician <p> "Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher."<br> –Mathematical Reviews
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