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The Estrangement of the Past: A Study in the Origins of Modern Historical Consciousness
Anthony Kemp
Manufacturer: Oxford University Press, USA
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ASIN: 019506545X |
Book Description
In this strikingly bold and original work, Kemp argues that the Western idea of time reversed itself between the fourteenth and the eighteenth century from a static and syncretic image of a temporal world in which all time is uniform, the past is the arbiter of truth and all inherited
knowledge is eternally viable, and no secrets lie hidden in time waiting to be revealed to a future age; to a dynamic and supersessive model of history in which the past dispenses only ignorance and error. Kemp describes these two opposed historical worlds, these "time texts," and traces the
transition between them, its mechanism, and its motivation, concluding by drawing out the epistemological consequences of supersessive history for the modern intellect.
Average customer rating:
- Simply The Best!!!
- Simply The Best!!!
- Should be your first book to read on Morocco!
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Morocco Under King Hassan
Stephen O. Hughes
Manufacturer: Ithaca
ProductGroup: Book
Binding: Paperback
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ASIN: 0863723128 |
Customer Reviews:
Simply The Best!!!.......2004-11-12
This is excellent book, full of facts.
I congratulate the writer for this marvelous work.
Simply The Best!!!.......2004-11-12
This is excellent book, full of facts.
I congratulate the writer for this marvelous work.
Should be your first book to read on Morocco!.......2001-12-11
...as a long standing student of Morocco I found this book focused and factually correct. Unlike some other books written about this country, 'Morocco Under King Hassan' provides a balanced picture that allows the reader to make his or her own judgements. If asked which books a student of Morocco should put at the top of their reading list I would start with Maxwell's 'Lords of the Atlas' and then Mr. Hughes' book.
Book Description
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied in economics, engineering, and the natural and social sciences. The book assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This second edition contains detailed instructions on the use of the new totally windows-based computer package ITSM2000, the student version of which is included with the text. Expanded treatments are also given of several topics treated only briefly in the first edition. These include regression with time series errors, which plays an important role in forecasting and inference, and ARCH and GARCH models, which are widely used for the modeling of financial time series. These models can be fitted using the new version of ITSM. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include the Burg and Hannan-Rissanen algorithms, unit roots, the EM algorithm, structural models, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to non-linear, continuous-time and long-memory models.
Customer Reviews:
good basic intro.......2006-11-10
A decent basic introduction covering a lot of topics. It's much more accessible for learning the subject for the first time then many other books which pile on the mathematical notation and obscure the actual meaning of things. The accompanying CD is very nice, although it gets annoying very fast that you're restricted to very small dataset sizes---but it does help in learning. The only two things that are somewhat of a problem with this book are 1) many times, rather than clearly stating "here's the algorithm you need to implement", you are referred to 3 or 4 other sections of the book for pieces of the algorithm, often without a clear explanation of exactly how that earlier section is supposed to be worked into the current desired algorithm and 2) there aren't a lot of practical insights as to how to actually initialize many of the algorithms (everything is great if you already know all the parameters in advance but starting from scratch with just raw data isn't dealt with I think as fully as would be useful). All in all, though, the book is helpful and, as I said, very good for learning the essential concepts for the first time.
When is an Introduction not an Introduction?.......2006-11-05
In the process of building a website targeted to those good folks that are striving valiantly to make a living through Internet marketing, you might think that an early objective would be to assemble a library of good reference material. After all, if you are planning on providing sensible information to your readers, then you should have a few good text books on hand to refer to when you need to be sure that some little tidbit of information might actually work. Well, at least I did. So, I have been scouring the Internet for textbook on the subject of Forecasting, which we share a common interest in. I have purchased a few and, for the most part, they are really quite informative and will be useful when the time comes. There is, however, an exception to this.
One book I purchased bears the title "Introduction to Time Series and Forecasting, Brockwell, Peter J and Richard A Davis". Being an intelligent sort of chap, I naturally took the word "Introduction" to mean just that. You know, you've been introduced to people before and becoming introduced usually means that 1. You look at the face. 2. You grasp their hand and shake firmly and 3. You exchange pleasantries, such as "Hello, it's nice to meet you".
Now, I never blame the person making the introduction if the relationship doesn't work out. After all, it's not their fault that two people hopefully sharing a common interest (after all, why bother making an introduction?) aren't all that compatible. There are likely to be many reasons for the incompatibility, the first of which could be that people travel in different circles and your circle isn't ever going to be part of their circle. Sort of an exclusionary relationship, you might say. And, not to be overly judgmental of others, of course, there may be plenty of good reasons for that. If everyone existed in one social circle, after all, the world would be beyond boring.
Anyways, the text book is a wonderful creation, that is, if you're a post-graduate or doctoral candidate. Upon opening the cover, expecting to be warmly introduced, I was rather amazed at the depth of equations and formulas gracing practically every page. I felt intimidated immediately. Remember the movie "The Ring"? This had to be rocket science, or more correctly, forecasting science at its most extreme! Wow! I should have really paid more attention during my statistics classes. So, I quickly closed the cover and tried to get a refund from the seller. Note the word Tried here. They didn't want it back either.
The good Post-Grand and PhD. candidates of the science of forecasting probably don't need an "Introduction" to Time Series and Forecasting. Next time I buy a book, I think I'll look for something with "Sandbox" in the title.
May all your Forecasts be Good Forecasts at [...]
Awesome.......2006-08-04
this book is excellent because it provides us with many examples and detailed explanations.
Not sure if it is introductory.......2005-12-24
I think the book is not written in a very organized way. It's not a book for picking up time series quickly. It's saturated with information, which I'm not sure if it's necessary for implementation. I have no problem following the math, however, if I want to pick up something and implement it within a day or two, the book is a bit harder to digest. Wouldn't think this is an undergraduate course book as it covers convergence in probability or mean-squared, which I learnt in PhD courses, not even master level.
Great book for a great price.......2004-02-12
This is one of those books that you can't find much cons to it. The book is inexpensive, and it's unbelievably lightweight. The material is rich, and yet easy to understand. The author actually brings you step by step from elementary to theorectical proofs.
Book Description
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated, vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood, and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis.
The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
Customer Reviews:
Welcomed Surprise.......2007-10-13
This book provides a fairly elementary view of the vast subject of time series analysis. It easy to read and the author provides lots of basic calculations. Typically, such books stay away from the cutting edge topics but not this one. It is quite complete. I highly recommend it to anyone that knows a few basic things about time series and wants to take it much further.
Average customer rating:
- Readable Time Series Book
- Useful for SAS users without a deep love of stats
- Data and Syntax CD with the book
- Difficult to understand
- Vaulable for all people learning econometrics
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An Introduction to Time Series Analysis and Forecasting: with Applications of SAS and SPSS
Robert Yaffee
Manufacturer: Academic Press
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Binding: Hardcover
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Similar Items:
-
SAS for Forecasting Time Series, Second Edition
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The Little SAS Book: A Primer, Third Edition
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Introduction to Time Series and Forecasting
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Multiple Time Series Models (Quantitative Applications in the Social Sciences)
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Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)
ASIN: 0127678700 |
Book Description
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. To enhance the book's value as a teaching tool, the data sets and programs used in the book are made available on the Academic Press Web site. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques.
Key Features
* Describes principal approaches to time series analysis and forecasting
* Presents examples from public opinion research, policy analysis, political science, economics, and sociology
* Free Web site contains the data used in most chapters, facilitating learning
* Math level pitched to general social science usage
* Glossary makes the material accessible for readers at all levels
Customer Reviews:
Readable Time Series Book.......2007-04-24
I have found this book very helpful. I am a Clinical Psychologist with a strong research background, yet have had difficulty understanding the very technical 8+ Time Series books I have read thus far. This book is relatively easy to read, and has helped me complete my analyses correctly.
Useful for SAS users without a deep love of stats.......2007-04-04
This textbook has been useful for my work (using SAS) on interrupted time series analysis. Fairly useful examples, but very few examples using transfer functions, which is my interest. Overall, this has been an excellent resource for developing my time series models, and the SAS code is especially helpful. I'd recommend it to others that are not econometrics experts interested in using ARIMA models, but may be intimidated by other highly statistical texts.
Data and Syntax CD with the book.......2004-08-26
I think this book is useless unless the author includes a CD of data and syntax as had been done by Gujarati and Green.
Difficult to understand.......2001-05-18
Although I have taken courses in multivriate statistics, I had a very difficult time getting through the second chapter in this text. Certainly, there must be something that is easier to understand. The author writes as if he spent his whole life inside the ivory tower and gravitates towards three and four syllable words. I thought that this book would be simple to uderstand because it is targeted to students in the social sciences. I thought wrong!
Vaulable for all people learning econometrics.......2000-10-24
"Introduction to Time Series Analysis and Forecasting with Applications of SAS and SPSS" is the best textbook in the area of econometrics that I ever read so far. It demonstrates detail programme language of SAS and SPSS for time series analysis and Forecasting which make this book distinguishable from others. I found the explanation of the programme language (right beside the programme) is easy to read and make me understand SAS and SPSS more, especially for the beginner of these programmes. Besides the programme language, the text itself also explains the concepts and the equations of the time series analysis and econometrics in an easy to understand and orgainzed way. This is definitely a good tool book for people learning econometrics.
Average customer rating:
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An Introduction to Forecasting Time Series Using Stata
Robert Yaffee
Manufacturer: Stata Press
ProductGroup: Book
Binding: Paperback
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ASIN: 1597180157 |
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Introduction to Time-Series Modeling and Forecasting in Business and Economics
Patricia E. Gaynor , and
Rickey C. Kirkpatrick
Manufacturer: McGraw-Hill Companies
ProductGroup: Book
Binding: Hardcover
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ASIN: 0070349134 |
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Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)
Douglas C. Montgomery ,
Cheryl L. Jennings , and
Murat Kulahci
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover
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ASIN: 0471653977 |
Book Description
Introduction to Time Series Analysis and Forecasting examines methods for modeling and analyzing time series data with a view towards drawing inferences about the data and generating forecasts that will be useful to the decision maker. While the level is advanced undergraduate/first-year graduate, with a prerequisite knowledge of basic statistical methods, some portions of the book require a first course in calculus and modest matrix algebra manipulation skills. Minitab and SAS Software System are used extensively to illustrate how the methods in the text are implemented in practice.
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Mainstreaming Biodiversity in Agricultural Development: Toward Good Practice (World Bank Environment Paper, No. 15)
Stefano Pagiola ,
John Kellenberg ,
Lars Vidaeus , and
Jitendra Srivastava
Manufacturer: World Bank Publications
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Binding: Paperback
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ASIN: 0821338846 |
Books:
- The Foundation of Rome: Myth and History
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- The Hutchinson Encyclopedia of the Renaissance
- The Man from Stone Creek (Stone Creek, Book 1)
- The Mathematics of the Ideal Villa and Other Essays
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- The New American Militarism: How Americans Are Seduced by War
- The Peoples of the British Isles: A New History : From Prehistoric Times to 1688
- The Rational Choice Controversy in Historical Sociology
- The Religious Dimension in the Thought of Giambattista Vico: 1668-1744 : Language, Law and History (Studies in the History of Philosophy)
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