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 à Montréal". 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.

Testing Statistical Hypotheses (Computer Science Workbench)

Arts & Photography

Romano, Joseph P.

Lehmann, Erich

Photography & Video

Springer

Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.

Subsampling (Springer Series in Statistics)

Science & Math

WOLF,MICHAEL

Politis, Dimitris N.

Mathematics

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.

Testing Statistical Hypotheses (Springer Texts in Statistics)

Lehmann, Erich L. L.

Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.

Product Description 
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. 
 Review \nFrom the Back Cover \nTesting Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text. 
 About the Author \nE.L. Lehmann (1917 – 2009) was an American statistician and professor of statistics at the University of California, Berkeley. He made significant contributions to nonparametric hypothesis testing, and he is one of the eponyms of the Lehmann-Scheffé theorem and of the Hodges-Lehmann estimator. Dr. Lehmann was 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 was the author of Elements of Large-Sample Theory (Springer 1999) and Theory of Point Estimation, Second Edition (Springer 1998, with George Casella).\nJoseph P. Romano has been on faculty in the Statistics Department at Stanford since 1986. Since 2007, he has held a joint professorship appointment in both Statistics and Economics. He is a coauthor of three books, as well as over 100 journal articles. Dr. Romano was named NOGLSTP's 2021 LGBTQ+ Scientist of the Year, has been a recipient of the Presidential Young Investigator Award and many other grants from the National Science Foundation, and is a Fellow of the Institute of Mathematical Statistics and of the International Association of Applied Econometrics. His research has focused on such topics as: bootstrap and resampling methods, subsampling, randomization methods, inference, optimality, large-sample theory, nonparametrics, multiple hypothesis testing, and econometrics. He has invented or co-invented a variety of new statistical methods, including subsampling and the stationary bootstrap, as well as methods for multiple hypothesis testing. These methods have been applied to such diverse fields as clinical trials, climate change, finance, and economics.

Testing Statistical Hypotheses: Volume I (Springer Texts in Statistics)

Lehmann, E.L.

See the best price to sell, buy, or rent books by Romano, Joseph P.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Romano, Joseph P.

See the best price to sell, buy, or rent books by Romano, Joseph P.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Testing Statistical Hypotheses (Computer Science Workbench)

Subsampling (Springer Series in Statistics)

Testing Statistical Hypotheses (Springer Texts in Statistics)

Subsampling (Springer Series in Statistics)

Testing Statistical Hypotheses: Volume I (Springer Texts in Statistics)

Testing Statistical Hypotheses (Springer Texts in Statistics)