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oh where oh where has my butterfly gone ?

True Civil War drama in the East Tennessee mountain region."Thrilling Adventures" is Ellis' memoir, recounting the brutal hardships he had to endure during his years on the run. Written shortly after the war, it is tainted by his still-burning fury toward the Confederacy. The book has been criticized for perceived exaggerations, but its true excesses are in its narrative style, full of classical allusions and long-winded melodrama -- elements long since gone out of fashion.
Given its faults in narrative and Ellis' understandable lack of objectivity, the book is an accurate account of life in southern Appalachia during the Civil War. The region in that era is receiving increasing attention, most notably in Charles Frazier's Cold Mountain (which acknowledges Ellis' Thrilling Adventures) and Cameron Judd's Mountain War trilogy...


Pretty Good....Pretty Good....

good broad coverage of topic in 1993Traditional time domain models including exponential smoothing and moving averages are introduced first. The ARMA models and Harvey's structural models are treated as special cases of the state space models. They introduce many parameter estimation procedures but make the key point that many of them are simply useful approximations to the maximum likelihood estimates. They discuss applications with reference to the software packages MINITAB and SYSTAT (now owned by SPSS Inc.).
My criticism of it is with regard to omissions. They talk about the NAG libraries but neglect IMSL. The routines in SPlus that were available at the time of publication of the book were also overlooked. They also overlooked the recent advances on detecting outliers in time series as was covered in the 1984 2nd edition of "Outliers in Statistical Data" by Barnett and Lewis. Further work can now be found in the 3rd edition of the Barnett and Lewis book that came out in 1995. Although forecasting (or prediction) is perhaps the most important application of time series methodology, it is also worthwhile in a book like this intended for engineers and other practitioners that other applications be discussed. Discrimination is one such topic. Certain time series (e.g. radar signals) must be detected and discriminated from noise and then further identified by type. In biomedical applications a patient's electroencephalogram or electrocardiagram are routinely studied to look for abnormalities that could indicate neurological or heart diseases respectively. Shumway covers this well in his book "Applied Statistical Time Series" published in 1988 and more examples can be found in his 2000 book "Time Series and Its Applications" coauthored with David Stoffer. There they look at the interesting problem of discriminating between earthquake activity and nuclear explosions. New methods involving wavelet transforms are now used. This is discussed in the Shumway and Stoffer book and in detail in the new book on Wavelets by Percival and Walden.
Chapters 6-12 are somewhat lacking in exercises while chapters 1-5 provide enough exercises for class homework. A course based on this text would benefit from additional exercises and some case studies provided by the instructor. Also new material developed in the last 8 years should be covered in such a course.
Some mention of Bayesian methods is given in chapter 6 with particular reference to the book by West and Harrison. Additional developments have been published in the last 8 years including additional articles and books by Mike West and his coauthors.


A welcome addition to the study of Indian Education.

Good!

Another witty and memorable book from M. Ellis!

The authors provide good info on sgml/html related topics

The Changing Kibbutz

Very precise, easy to read, easy to use.Thanks, Marilyn V.