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1. |
Record Nr. |
UNINA9910462469903321 |
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Autore |
Wang Xiaoming |
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Titolo |
Dogs : Their Fossil Relatives and Evolutionary History / / Xiaoming Wang, Richard Tedford |
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Pubbl/distr/stampa |
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New York, NY : , : Columbia University Press, , [2008] |
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©2008 |
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ISBN |
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Descrizione fisica |
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1 online resource (240 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Canis, Fossil |
Dogs -- Evolution |
Dogs |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface -- Acknowledgments -- 1. Methods of Study and the Place of Dogs in Nature -- 2. The Origin of Canids and Other Doglike Carnivorous Mammals -- 3. Diversity -- 4. Anatomy and Function How the Parts Work -- 5. Hunting and Social Activity -- 6. Changing Environments and Canid Evolution -- 7. Going Places -- 8. Domestic Dogs -- appendix 1 -- appendix 2 -- Glossary -- further reading -- Index |
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Sommario/riassunto |
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Xiaoming Wang and Richard H. Tedford have spent the past 20 years studying the evolutionary history of the family Canidae. Both are well known for having established the modern framework for the evolutionary relationship of canids. Combining their research with Mauricio Antón's impeccable reconstructions of both extinct and extant species, Wang and Tedford present a remarkably detailed and nuanced portrait of the origin and evolution of canids over the past 40 million years. The authors cull their history from the most recent scientific research conducted on the vast collections of the American Museum of Natural History and other leading institutions. The fossil record of the Canidae, particularly those from their birth place in North America, are the strongest of their kind among known groups of carnivorans. Such a |
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wonderfully detailed evolutionary history provides access to a natural history that is not possible with many other groups of carnivorans.With their rich fossil record, diverse adaptations to various environments, and different predatory specializations, canids are an ideal model organism for the mapping of predator behavior and morphological specializations. They also offer an excellent contrast to felids, which remain entrenched in extreme predatory specializations. The innovative illustrated approach in this book is the perfect accompaniment to an extremely important branch of animal and fossil study. It transforms the science of paleontology into a thrilling visual experience and provides an unprecedented reference for anyone fascinated by dogs. |
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2. |
Record Nr. |
UNINA9910450231003321 |
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Autore |
Johnson Oliver (Oliver Thomas) |
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Titolo |
Information theory and the central limit theorem [[electronic resource] /] / Oliver Johnson |
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Pubbl/distr/stampa |
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London, : Imperial College Press |
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River Edge, NJ, : Distributed by World Scientific Publishing, c2004 |
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ISBN |
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1-281-86643-1 |
9786611866433 |
1-86094-537-6 |
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Descrizione fisica |
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1 online resource (224 p.) |
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Disciplina |
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Soggetti |
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Central limit theorem |
Information theory - Statistical methods |
Probabilities |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 199-206) and index. |
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Nota di contenuto |
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Information Theory and The Central Limit Theorem; Preface; Contents; 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on |
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Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A Calculating Entropies; Appendix B Poincare Inequalities; Appendix C de Bruijn Identity; Appendix D Entropy Power Inequality; Appendix E Relationships Between Different Forms of Convergence; Bibliography; Index |
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Sommario/riassunto |
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This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concerning their behaviour. It brings together results from a number of research papers as well as unpublished material, showing how the techniques can give a unified view of limit theorems. |
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