Three-dimensional synthetic reincarnations of Marilyn Monroe and Humphrey Bogart were created by the authors of this book for their award-winning feature film "Rendez-vous � Montr�al". The advanced computer animation techniques developed for the film are fully described in this book. They form a technological breakthrough that can be used to produce scenes featuring any celebrity in any situation. This opens new vistas in motion pictures, television and advertizing. The book explains in detail with numerous drawings and color pictures how such films are produced. The following topics are presented: - Preparation of object construction: documentation search, plaster models preparation - Object construction, digitizing, modeling - Body animation: walk - Hand animation and object grasping - Facial animation: expressions, phonemes and emotions - Choreography: decors, actors, cameras, lights - Realism: colors, lights, shading, shadows, textures - Image recording: special effects.

From the Back Cover

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.

E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands and the University of Chicago. He is the author of Elements of Large-Sample Theory and (with George Casella) he is also the author of Theory of Point Estimation, Second Edition.

Joseph P. Romano is Professor of Statistics at Stanford University. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. He has coauthored two other books, Subsampling with Dimitris Politis and Michael Wolf, and Counterexamples in Probability and Statistics with Andrew Siegel.

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