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....
|Title||:||Testing Statistical Hypotheses (Computer Science Workbench)|
|Publisher||:||Springer September 15, 2008|
|Number of Pages||:||804 pages|
|File Size||:||572 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Testing Statistical Hypotheses (Computer Science Workbench) Reviews
Every professional statistician should have a copy of this book. I lent my copy of the first edition to somebody I can't remember and of course never got it back--no surprise since it is absolutely indispensable. So I purchased this third edition. It's worth it. The book is a classic and Erich Lehmann is a genius.
Lehmann and Romano is a wonderful, beautiful, necessary book for the shelf of every serious statistician, but in a few ways it is not quite right. Some important topics are omitted. At least one important topic is much more important than the book says. At least one statement, while correct, may be read incorrectly by beginners. At least one proof is unreadable.
I found this book hard to read & maneuver around in. Maybe I should've gotten an earlier edition.
This text was commonly used as a graduate text in mathematical statistics in the 1970s when I was a graduate student at Stanford University. It was the best and most detailed text on the theory of hypothesis testing. Over the years it remained so and twenty years after publication, when it was outdated by research advances it was revised by Professor Lehmann. The second edition originally published by Wiley went out of print but has now been reprinted by Springer-Verlag. This is a great book for any statistician to have on his bookshelf, a must have reference!
The 3rd edition has an entirely new set of chapters covering asymptotics. I found this to be a very readable survey, including a good discussion of local asymptotic normality, which is not treated in more elementary texts. There's some overlap between this book and Lehman's Theory of Point Estimation. It's not obvious which should be read first, but both books are very well written with many interesting problems.
This is a textbook for theoretical statistics,which has more content than 2nd edition while the 2nd edition is concise and pointed. If it is not required to have third edition, I would rather buy the 2nd edition.