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Here are some good points:
1. Collectors of Thalers will be pleased to see Davenport numbers incorporated in their favorite areas.
2. Numerous illustrations aid the collector in identifying unknown coins.
3. Prices appear in at least four grades for each coin.
4. Helpful sections include an "Instant Identifier" with illustrations of various coin designs specific to a particular area, and "Legend Abbreviations" which give the collector a big leg up in identifying coins based on the legends alone.
5. A decent attempt is made at listing Pattern pieces (those coin designs never officially adopted).
Here are a few areas where the book could be better:
1. Prices appear to reflect the American market for German coins which, in many cases, is substantially lower than the German market for the same coins.
2. Some of the States higher in the alphabet (Saxony, for example) seem to be lacking data on the earliest coins.
3. I'd like to see the Pattern section expanded and possibly include the numbers from Schaaf's reference book on this area.
4. Cross-references to Jaeger (the German "Guidebook") would be helpful to our friends across the big pond.
Lest I appear too critical, let me state that the positive impact of this book and the obvious time and effort that went into its production are immensely important. No other reference on German coins comes anywhere close to matching the sheer volume of information contained herein. No other single book opens up the world of German coins like this book does. Thus, whether you're a beginning or an advanced collector, this book should be an essential part of your reference library.
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Hall and Lieber emphasize that students must have a mapped out plan about what they want to do and what they want to gain from their experience. Taking time off is not about bumming around. There is a intellectual component to this endeavor that parents may tend to dismiss. They shouldn't.
Finally, a book that challenges the idea that all people between the ages of 18-22 should go to immediately to college without entertaining the possibility of alternative experiences that would serve them better, at least temporariliy. There is no doubt that young men and women should obtain their college degrees, according to Hall and Lieber... the question simply is when.
KUDOS!!
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The subject of Mr. Chisholm's book is his mother, and his love and respect for her shine through on every single page of this hauntingly written book. The fact that he devoted several years to his quest to learn about his mother's past is itself a remarkable undertaking. What he produced as a result of his travels and studies is a compelling look at a woman who wanted desperately to go "home," but was unable to do so. What makes Through Yup'ik Eyes so truly inspiring is that Mr. Chisholm did in fact find a way to take his mother home. Through his efforts, she was posthumously reunited with her relatives after so many painful years of being away.
We live in a changing world, and not the least of the changes are the new ways we are finding to define our identities. Mr. Chisholm succeeded in returning his mother to her beloved Alaska, but he also made a big stride in offering a definition of family. Rather than painting an entire group of people with one brush, what Mr. Chisholm offers is a deeply moving picture of one woman and her relationship to her son.
To create a story about a culture one only has glimpses of as one is growing up because of some silence or resistence that brought the parent to carry is, in and of itself, a very difficult task to bear. Colin Chisholm in blending reality and fiction into a heart-felt document, unfolds the silent stories of many children who, like his mother, were taken away during the tuberculosis and influenza epidemic that killed so many of the Yup'ik Eskimo people at the turn of the 2oth century. In one sense Colin's mother was fortunate to be able to live; whereas so many people such as my grandparents, were not -- who knew and possibly saw Mrs. Chisholm being taken away at such a tender age, never to be seen again. A sensitive topic written with respect about a culture the author only knows a little of is truly an honorable effort. I commend Mr. Chisholm in telling part of my Yup'ik history in a way that brings out the love, the struggles, and the determination to survive that Yup'ik people faced, and continue to face.
How brave and honorable it is to learn that Colin is able to track down the side of his family he doesn't know, and in a culture that is seldom recognized or heard of. The yearning for meaning about family and the love for a mother whom Colin Chisholm pursued ends up in a stronger family relationship. Colin's mother would be so proud of a son that bravely conquered family ties.
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Much of this book will strike students of classical probability theory and philosophy of science as very counter-intuitive at first, but it is so well argued and so clear that I think most readers will begin to warm up to the Bayesian view at least to some degree by the time they finish the book.
The book starts out introducing one version of the traditional "problem of induction": 'how can we be certain of a rule inferred from finite individual observations ?' We then quickly discover why the usual solutions offered don't quite work in actual theory construction in practice. Mainly, the usual solutions (generally based on the disconfirmation of hypotheses) don't address the way _auxilliary_ hypotheses help theories escape refutation, and how webs of evidence of different kinds often converge to help confirm theories.
It has been generally accepted by modern philosophers of science that useful scientific theories go well beyond the experimental data. Hence they can technically not be "proven" in a logical sense, only considered increasingly more likely as their testable predictions are validated.
The Bayesian view is not based so much on a negative attitude toward objective confirmation of theories, as on the observation that classical methods which are the guardians of total objectivity, in fact violate that ideal constantly and in arbitrary ways. The most objective methods, such as those of Fisher and Neyman and Pearson are credibly claimed to rely on personal judgement of likelihood at key points, rather than being the objective logical consequences generally assumed of them.
The Bayesian view starts off acknowledging that subjective assessment of likelihood is an important part of theory selection and construction, and makes it part of the philosophy of science. The central point is that we have degrees of belief in theories, and that these degrees of belief adhere to probability calculus.
The power of scientific reasoning then results not from some elusive objective logic of discovery but because our innate inference abilities lead observation of evidence to beliefs that follow probability calculus, and hence our sense of increasing credibility tends to reflect greater likelihood of a theory making accurate predictions. Although our inferences are not consistently Bayesian by any means, our own intuitions about what represents *correct* inductive reasoning _are_ Bayesian in nature. So when we take pains to correct our inferences based on our own standards of tenability, our subjective assessments lead us to increasingly better theories.
Our beliefs can be measured as probabilities, and probabilities can be used to confirm theories. Among other things, the Bayesian view uniquely predicts, in contrast to the classical view of Popper and statistician Fisher, that novel observations should have and do have special importance in theory construction. The authors not only introduce probability calculus in simple algebraic terms and discuss its application to philosophy of science, but they also devote considerable time to exploring specific weaknesses of alternate views, and considerable time persuasively addressing the strongest criticisms of the Bayesian approach, such as that it is "too subjective." But the Bayesian philosophy of science is actually built on a powerful theory of inference and is itself "unimpeachably objective" because of its strict rules of consistency, even though its subject matter is subjective degrees of belief.
If you've ever wondered exactly what the Bayesian approach to probability is, and what it is supposed to offer science, or you've ever been dissatisfied with the traditional answers to the problem of induction, this book will be your welcome friend for a number of evenings. It combines mathematical elegance and deftness with simple philosophical wisdom and deals convincingly with the controversial nature of its claims.