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Sexual Assault: Will I Ever Feel Okay Again?
Kay Scott Manufacturer: Bethany House ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 1556613253 Release Date: 1993-08-01 |
Book Description
One woman's personal journey to wholeness and a guide for other victims, their families, and friends. A book of hope and healing.Customer Reviews:
HIGHLY RECOMMEND - INSPIRING BOOK.......2007-08-09
Very helpful.......2004-06-13
I AM NOT ALONE.......2001-04-09
Excellent!.......2000-01-21
Personal account of a rape's effect over decades.......1999-01-15
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The Great Wall of China: From History to Myth (Canto original series)
Arthur Waldron Manufacturer: Cambridge University Press ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 052142707X |
Book Description
The Great Wall of China is renowned as one of the most impressive and intriguing man-made structures on earth. It is also the subject of an awesome mythology, embedded in both learned and popular imaginations, which has grown up and now obscured the historical record. Even the maps which chart the Wallâs position offer erroneous accounts of a phenomenon which has never been accurately surveyed. Arthur Waldron reveals that the notion of an ancient and continuously existing Great Wall, one of modern Chinaâs national symbols and a legend in the eyes of the West, is in fact a myth. His fascinating account reveals the strategic and political context for the decision to build walls as fortified defences, and explores its profound implications for nomadic and agricultural life under the Ming dynasty. Taking up the insights offered into more recent Chinese politics, the book concludes with a searching investigation of the Wallâs new meanings in the myths - departing from that history - fostered in our own century.Customer Reviews:
GREAT HISTORICAL GUIDE.......2007-08-25
Myths busted, thoughts provoked.......2007-03-01
True story of the (so called)Great Wall.......2000-04-10
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GREAT WALL OF CHINA: FROM HISTORY TO MYTH
Arthur Waldron Manufacturer: Cambridge University ProductGroup: Book Binding: Hardcover ASIN: B000KL5PMM |
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Generalized Linear Models (MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY)
P. McCullagh Manufacturer: Chapman & Hall/CRC ProductGroup: Book Binding: Hardcover Similar Items:
ASIN: 0412317605 |
Book Description
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.
Customer Reviews:
As promised, on time.......2006-03-21
first great treatment of generalized linear models.......2000-08-09
Very comprehensive, very helpful........2000-04-02
One of the best books on modelling.......2000-04-01
General linear models extend multiple linear models to include cases in which the distribution of the dependent variable is part of the exponential family and the expected value of the dependent variable is a function of the linear predictor. Besides the normal (Gaussian) distribution, the binomial distribution, the Poisson distribution and the Gamma distribution, are just some of the exponential family members most frequently encountered in the scientific literature. Using appropriate functions to join the dependent variable to the linear predictor many classic models of applied statistics are included in the broad frame of generalized linear models: "logistic regression", log-linear models, Cox's proportional hazards models are just some of them.
Further extensions to the "base" family of generalized linear models, such as those based on the use of quasi-likelihood functions, and models in which both the expected value and the dispersion are function of a linear predictor, are well presented in the book.
Examples, and exercises, introduce many non-banal, useful, designs.
There are some minor drawbacks. Some more advanced topics might have been introduced more smoothly (i.e. conditional likelihood). Some other topics are better understood when you are already familiar with the specific object of study (i.e. Cox's proportional hazards models as a generalized linear model). The book does not provide software examples, nor is it related with any specific statistical package. However, the maturity of the reader to whom the book is addressed should be so high that translating the majority of the examples presented in the book in the "language" of a familiar statistical package should not be a problem.
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An Introduction to Generalized Linear Models, Second Edition
Annette J. Dobson , and Annette .J. Dobson Manufacturer: Chapman & Hall/CRC ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 1584881658 |
Book Description
Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models. Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application. Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.
Customer Reviews:
Clear and Consice but too Compact.......2004-11-20
the most clearly written book on the topic.......2002-08-16
Excellent concept - Execution could be better.......2002-08-04
recommended for applications and clarity.......2002-06-18
Bill recommended Dobson's text because of her clear writing style and many useful examples. Dobson also places the theory in the context of the general exponential family of distributions. As I knew that the second edition was about to come out I waited for it.
The wait seems to have been very worthwhile. The second edition is a real bargin.... She has updated it with the many advances that have occurred over the past 12 years since the first edition was printed. This edition now includes some discussion of generalized additive models, broader coverage of applications as survival analysis, GEE, multi-level models and nominal and ordinal logistic regression have been added. It now offers the reader more applications in a wider variety of disciplines and includes modern approaches to diagnostic checking of the models.
As with the first edition, exploratory techniques are emphasized particularly graphical methods. The goal is to unify the apparently disparate statistical techniques that students are exposed to, into one general modeling framework.
It includes a nice up-to-date bibliography and recent advanced results on longitudinal models. The level is intermediate statistics with introductory statistics and linear models taken to be prerequisites. Students are also required to have some familiarity with calculus and linear algebra.
-.......2000-04-04
Thus, while this book is not ideal for someone who wants to jump right into the thick of building logistic, loglinear, or other models for nominal data, it is quite suitable for those wishing a thorough introduction to the practice of generalized linear modeling. For greater detail, a thicker book like McCullagh & Nelder's _Generalized Linear Models_ would be suitable.
Note: While the term "Generalized Linear Models" includes linear regression models (i.e., models for continuous dependent variables), reading this book is not the easiest way to be introduced to regression. A better starting point would be Draper & Smith's _Applied Regression Analysis_ or Weisberg's _Applied Linear Regression_.
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Generalized Linear Models and Extensions, Second Edition
James W. Hardin , and Joseph M. Hilbe Manufacturer: Stata Press ProductGroup: Book Binding: Paperback Similar Items:
ASIN: 1597180149 |
Book Description
Generalized Linear Models and Extensions, Second Edition provides a comprehensive overview of the nature and scope of generalized linear models (GLMs) and of the major changes to the basic GLM algorithm that allow modeling of data that violate GLM distributional assumptions. Deftly balancing theory and application, the book stands out in its coverage of the derivation of the GLM families and their foremost links, while also guiding readers in the application of the various models to real data. This edition has new sections on discrete response models, including zero-truncated, zero-inflated, censored, and hurdle count models, as well as heterogeneous negative binomial, generalized Poisson, and generalized binomial models. The book also includes a substantially expanded discussion of both proportional-odds and generalized ordered models, making it easy for readers to use these models in their own research.
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Generalized Linear Models, Second Edition
J. A. Nelder Peter McCullagh Manufacturer: Chapman and Hall ProductGroup: Book Binding: Hardcover ASIN: B000L85FSI |
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Population Viability in Plants: Conservation, Management, and Modeling of Rare Plants (Ecological Studies)
C. A. Ed. Brigham Manufacturer: Springer-Verlag ProductGroup: Book Binding: Hardcover Accessories:
ASIN: 3540439099 |
Book Description
Providing a quantitative assessment of threatened plant populations, that holds for varying management scenarios, has become an essential part of conservation planning. Here, renowned plant ecologists provide information on: major threats to plants, when and where to conduct a plant viability assessment (PVA), what type of PVA to conduct, what alternative options to PVA are available, what information is required for which kind of viability assessment, what attributes of the population in question should be considered, and what the limits of the PVA would be. As such, this volume can be used as a training tool for the environmental manager or a teaching aid for reviewing the current state of knowledge on plant population viability.
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