Average customer rating:
- HIGHLY RECOMMEND - INSPIRING BOOK
- Very helpful
- I AM NOT ALONE
- Excellent!
- Personal account of a rape's effect over decades
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Sexual Assault: Will I Ever Feel Okay Again?
Kay Scott
Manufacturer: Bethany House
ProductGroup: Book
Binding: Paperback
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I Never Called It Rape: The Ms. Report on Recognizing, Fighting, and Surviving Date and Acquaintance Rape
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
I WOULD HIGHLY RECOMMEND THIS BOOK TO ANYONE GOING THROUGH THE RECEOVERY PROCESS FROM SEXUAL ABUSE. THIS IS SUCH AN INSPIRING BOOK. READING KAY'S STORY REALLY BROUGHT ME BACK TO MY OWN EXPERIENCE. IT WAS SUCH A RELIEF TO REALIZE THAT THERE WAS SOMEONE ELSE WHO REALLY UNDERSTOOD HOW I FELT. THIS IS A MUST READ FOR ANYONE WHO HAS BEEN A VICTIM OF OR IS A FAMILY MEMBER OR FRIEND OF SOMEONE WHO IS A VICTIM. ALSO IF YOU REALLY JUST WANT TO BETTER UNDERSTAND HOW SEXUAL ASSAULT AFFECTS A VICTIM, YOU NEED TO READ THIS BOOK.
Very helpful.......2004-06-13
The author's candor about her experiences was very helpful. Her story helped me realize that I was not alone with the after-feelings of my assualt and that there was hope for recovery. "Hope" was something I had not felt from the time of my assault until I read the book. It was immensely helpful to hear from someone who has "been there." Even well-meaning therapists don't always understand what its like the way someone who has walked in your shoes can. This book was that for me.
I AM NOT ALONE.......2001-04-09
I LIKED THIS BOOK BECAUSE AFTER READING IT I FELT THAT I WAS NOT ALONE AND WHAT I AM FEELING IS NORMAL. IT TOOK READING THIS BOOK TO UNDERSTAND THAT. IT MADE ME SEE THAT THERE ARE PEOPLE OUT THERE THAT HAS THOUGHT THE SAME THINGS I HAVE. I AM NOT ALONE.
Excellent!.......2000-01-21
This book was great and is helping me. As a Christian woman, I am currently going through something similar to what Kay went through regarding how I feel about God. I also wonder why I don't feel comfort from reading the Bible. Both of these issues are addressed, along with how we victims are treated within the Church. Reading the verdict made me cry -- it was very similar to mine -- but that was very therapeutic. I read it in one day and it comes highly recommended.
Personal account of a rape's effect over decades.......1999-01-15
Easy reading. Raped while in christian ministry in rough neighborhood out with but temporarily separated from a co-worker. No mention or views on other types of abuse yet reflects integration over time, effects on her marriage. Thought useful for survivors who have gone through individual counsel.
Average customer rating:
- GREAT HISTORICAL GUIDE
- Myths busted, thoughts provoked
- True story of the (so called)Great Wall
|
The Great Wall of China: From History to Myth (Canto original series)
Arthur Waldron
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback
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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
Researched in excruciating detail, with almost 600 footnotes, this book describes how and why the Great Wall was built. Not always the reasons you would think. The Wall is apparently still a mystery as to its extent and location. Text is readable, graphics are barely adequate for the purpose. but this is the most scholarly book I have seen on the subject. Not a coffee table book.
Myths busted, thoughts provoked.......2007-03-01
It's a shame in some ways that Arthur Waldron published this book in 1990, just as the world order was starting to change in ways that would have added even greater force to some of his arguments. For this is a remarkable book, with a breadth that goes far beyond its notional, even if gigantic, physical subject.
At a purely descriptive-historical level, Waldron debunks most if not all of the myths about the Wall. So far from being an eternal barrier between China and barbarism, created by Chin Shih Huang Ti and sustained by every subsequent dynasty, the early Wall (if it existed at all) was an outgrowth of an already ancient Chinese tradition of building defensive walls, mostly against each other. The really successful dynasties, like the early and middle Tang, built no walls at all; their preferred approach to dealing with troublesome nomads was a combination of bribes, flattery (both offered from a position of strength) and massacres conducted by flying columns of light cavalry. Even in the earlier years of the Ming dynasty, China could still produce a steppe general like Wang Yueh, who for speed, wiliness and ruthlessness matches any Indian fighter of the American West. The Wall as we know it was mainly a 16th century AD creation of the later Ming, who were bankrupt militarily and paralysed by internal factionalism in which proponents of a unipolar cultural-supremacist stance always had the moral upper hand. Unable to fight in the field, and ideologically debarred from using the Tang arts of suasion, the Ming had no choice but to build, at vast cost, works that the nomads could always get round in the end. It is astonishing that the Ming survived the resurgence of Mongol power that prompted the construction of the Great Wall we know; the chronic disunity of the Mongols with the enfeeblement of the line of Chingis had far more to do with it than fortifications manned by peasant militias. In the end it was a new set of nomads, the Manchu, who finally solved the `barbarian problem' by out-Mongoling the Mongols from the Pacific to Xinjiang and then incorporating China in their empire. Geographically, modern China, with its vast territories `beyond the Wall', is their legacy.
Where Waldron goes far beyond a historical recitation, and where he has most to say that is relevant to our own times, is in his analysis of the Ming preconceptions and internal politics that led to the building of the Wall. China was for millennia the superpower of East Asia and Chinese thinking about the world order was always basically unipolar (a luxury the USA has only enjoyed since 1990), dictated by their geographic location at one end of Eurasia, remote from any comparable agrarian power. The unipolar stance, however, permitted at least in principle a diversity of views about the means appropriate and permissible for ensuring China's safety and dominance. The great divide in the 15th-16th century Ming courts was between the pragmatists, who favoured a policy on the Tang model - bribes and flattery backed by force - and the Sino-supremacists who saw any engagement with non-Chinese as cultural (which could easily be represented as political) treason. Waldron draws comparisons with the paralysis of French policy between WW1 and WW2 that led to the construction of France's Great Wall - the Maginot Line. Had he written ten years later, he might have found valid parallels in post-Soviet US policy. There is a creepy similarity between the neo-con think-tanks of Washington and the private literati schools of Nanjing, each arrogating to themselves a monopoly of ideological purity and true patriotism, and rigidly opposed to policies of engagement. It doesn't do to push this (or any) historic parallel too far - the US has not (so far) succumbed to the military bankruptcy that stymied an engagement policy by the late Ming or Third Republic France (the velvet glove must always have an iron fist inside), but even that could follow if US public opinion swings severely against use of American troops abroad. Then what? The Great ABM Shield of America (incredibly expensive, round which the barbarians always found a way in the end ...)?
This is not an especially easy book to read, particularly in the sections where Waldron dives into the cauldron of late Ming palace politics; it requires some concentration to remember who's who, and on behalf of which standpoint (pragmatist or supremacist) they were (often literally) backstabbing their opponents. However, it's well worth the effort for the light it throws on a major phenomenon in human cultural history, whether or not you buy into any modern resonances.
True story of the (so called)Great Wall.......2000-04-10
Many times we meet Great Wall. However, how many people can distinguish the fact from bubble about the wall? Why was it built? When? For what? This book try to find the relation of the walls between the Wall of the Ming and previous 'Walls' including First Emperor's. After you read this book, you'll understand what made Chinese build the Wall.
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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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- As promised, on time
- first great treatment of generalized linear models
- Very comprehensive, very helpful.
- One of the best books on modelling
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Generalized Linear Models (MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY)
P. McCullagh
Manufacturer: Chapman & Hall/CRC
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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
I got this book in time and in perfect condition. Prompt delivery!!!
first great treatment of generalized linear models.......2000-08-09
Nelder and Wedderburn wrote the seminal paper on generalized linear models in the 1970s. Since then John Nelder has pioneered the research and software development of the methods. This is the first of several excellent texts on generalized linear models. It illustrates how through the use of a link function many classical statistical models can be unified into one general form of model. This unification is helpful both theoretically and computationally. Various applications are presented in a clear manner.
Very comprehensive, very helpful........2000-04-02
The first edition is already a well-known text and reference, this expanded version is even better. Very comprehensive and very helpful.
One of the best books on modelling.......2000-04-01
This is an important book. It is a mature, deep introduction to generalized linear models.
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.
Average customer rating:
- Clear and Consice but too Compact
- the most clearly written book on the topic
- Excellent concept - Execution could be better
- recommended for applications and clarity
- -
|
An Introduction to Generalized Linear Models, Second Edition
Annette J. Dobson , and
Annette .J. Dobson
Manufacturer: Chapman & Hall/CRC
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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
While what the book does explain about the statistical theory mentioned, it is too compact for what it tries to explain. There are also no answers to the excercises, which would be quite helpful given some of the questions asked. It's great for applications and is a good handbook, but for a thorough explanation of everything involved, I recomend getting a bigger textbook! For my 4th year Generalized Linear Models stats class, this book is helpful, but at times too compact to be more useful.
the most clearly written book on the topic.......2002-08-16
My copy of the second edition just arrived yesterday and it is even better than the first edition (which was fantastic). The logical organization and clarity of writing make this book a 'must have' for any statistician's library. I'd give it 6 stars if I could. Readers should also check out McCulloch and Searle's 'Generalized, Linear and Mixed Models'.
Excellent concept - Execution could be better.......2002-08-04
I wish somebody would write a concise tutorial of the matematics required for an "intermediate" book such as Dobson's. Undoubtedly for someone whose acquaintence with modern statitical methods is more current this book is a gem. For someone like myself who wants a refresher and whose math is a bit rusty it leaves something to be desired. Some of the theoretical derivations in chapters 3 and 4 (keys to the understanding of the rest of the book) would be improved by a bit more detail and a thoroughly worked example. A major shortcoming is the lack of answers to the excercises; I don't see how the book was published without them. If the book was 100 pages longer with the addition of the aforementioned material, I would have given it a five star rating.
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
This book provides a surprisingly brief and gentle, yet thorough, introduction to the subject of modeling dependent variables that are not continuous (see note below). The reader, who should be familiar with calculus-based probability, may initially find it frustrating that the actual practice of modeling nominal data is not discussed until the last two chapters (of 9). However, the cause for delaying the discussion of these models is to introduce the terminology and methodology of generalized linear models through more familiar linear regression models.
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
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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
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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
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Evolution of Biotechnology: From Natufians to Nanotechnology
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Clusia: A Woody Neotropical Genus of Remarkable Plasticity and Diversity (Ecological Studies)
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Growth Dynamics of Conifer Tree Rings: Images of Past and Future Enviroments (Ecological Studies)
ASIN: 3540439099 |
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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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