01830nam a2200217Ia 4500008004100000020001800041082001200059100002700071245005600098250001200154260003700166300001600203365001500219440004000234500006500274520089100339650004301230942000701273999001701280952031501297140323b2000 xxu||||| |||| 00| 0 eng d a9780387950549 a519.538 aEdwards, David9135396 aIntroduction to graphical modellingcEdwards, David a2nd ed. aNew YorkbSpringerc20009123769 axv, 333 p. bEuro 74.95 aSpringer texts in Statistics927028 aIncludes bibliographical references (p. [317]-327) and index aGraphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. aGraphical modeling (Statistics)961445 cBK c50129d50129 00102ddc4070aVSLbVSLcSlot 1428 (0 Floor, East Wing)d2009-05-04kSlot 1428 (0 Floor, East Wing)o519.538 E2I6p160011r2009-09-04w2009-09-04yBKA00074.95BEuroC2006-05-04DSaneer BooksE00250852F2006-03-09G0940H2006-04-07IFirm OrderJ004242.17K20.00%L00000.00MProf. Tathagata BanerjeeN9/6/2005