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Record Nr. |
UNINA9910254807303321 |
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Titolo |
Personality in Nonhuman Animals / / edited by Jennifer Vonk, Alexander Weiss, Stan A. Kuczaj |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XII, 326 p. 17 illus., 6 illus. in color.) |
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Disciplina |
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Soggetti |
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Psychology, Comparative |
Personality |
Social psychology |
Animal ecology |
Comparative Psychology |
Personality and Social Psychology |
Animal Ecology |
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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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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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i. Tribute to Stan Kuczaj Lauren Highfill -- ii. Editor’s Note Jennifer Vonk -- Part I: Introduction._1. A History of Animal Personality William Whitham & David A. Washburn -- Part II. Models and Perspectives in the Study of Personality -- 2. Exploring Factor Space (and other Adventures) with the Hominoid Personality Questionnaire Alexander Weiss -- 3. The Interpersonal Circumplex: A Complementary Approach for Understanding Animal Personality Virgil Zeigler-Hill & Lauren Highfill -- 4. The quantitative and molecular genetics of individual differences in animal personality Laine & van Oers -- 5. Personality from the perspective of behavioral ecology Brommer & Class -- Part III. Personality in Various Taxonomic Groups -- 6. Feeling Fishy: Trait Differences in Zebrafish (Danio rerio) Khan & Echevarria -- 7. Personality in elasmobranchs with special focus on sharks: early evidence, challenges and the future Finger, Dhellemmes & Guttridge -- 8. Personality, Temperament and Individuality in Reptile Behavior |
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Burghardt et al -- 9. Personality in Swine Horback -- 10. Personality in Dogs Fratkin -- 11. Felid Personality and Its Implications Gartner.-12. What do we want to know about personality in marine mammals? Frick, de Vere & Kuczaj -- Part IV. Applications of the Study of Nonhuman Personality.-13. Individual Differences in Nonhuman Animals: Examining Boredom, Curiosity, and Creativity Lilley, Yeater & Kuczaj -- 14. Phenotype Management: An Inclusive Framework for Supporting Individuals’ Contributions to Conservation Populations Watters, Bremner-Harrison & Powell -- 15. You are what you eat: the interplay between animal personality and foraging ecology Troxell-Smith & Mella -- 16. Applications of Research in Nonhuman Animal Personality Loyer & Ha. |
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Sommario/riassunto |
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This stimulating and comprehensive collection brings together multiple perspectives on the topic of personality in nonhuman animals—linking historical perspectives, theoretical approaches, methods, and cutting-edge discoveries. Experts from various fields describe their findings on species ranging from dogs, cats, chimpanzees, and dolphins to sharks, snakes, and other reptiles. Chapters not only discuss the evolution of personality, but also describe potential applications within the areas of animal-human interactions, animal ethics and welfare, conservation science, and other areas. A key focus is the role of genetics and the environment in determining animal behavior and personality, including related traits, such as creativity and boredom. These chapters present the study of personality in nonhumans as a means by which we can better understand medical and psychological issues specific to our own species as well. Chapters include: · Exploring factor space (and other adventures) with the Hominoid Personality Questionnaire · The quantitative and molecular genetics of individual differences in animal personality · Personality, temperament and individuality in reptile behavior · What do we want to know about personality in marine mammals? · Individual differences in nonhuman animals: examining boredom, curiosity, and creativity · The interplay between animal personality and foraging ecology Taking significant steps in advancing the study of animal personality, Personality in Nonhuman Animals will engage personality psychologists, comparative psychologists, and behavior ecologists as well as conservationists, zookeepers, livestock managers, and all those interested in the brain and behavior of animals. |
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2. |
Record Nr. |
UNINA9910337680903321 |
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Autore |
Beenstock Michael |
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Titolo |
The Econometric Analysis of Non-Stationary Spatial Panel Data / / by Michael Beenstock, Daniel Felsenstein |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (280 pages) |
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Collana |
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Advances in Spatial Science, The Regional Science Series, , 2197-9375 |
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Disciplina |
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Soggetti |
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Econometrics |
Regional economics |
Space in economics |
Statistics |
Regional and Spatial Economics |
Statistics in Business, Management, Economics, Finance, Insurance |
Econometria |
Anàlisi de sèries temporals |
Llibres electrònics |
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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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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1 Space and Time are Inextricably Interwoven -- 2 Time Series for Spatial Econometricians -- 3 Spatial Data Analysis and Econometrics -- 4 The Spatial Conectivity Matrix -- 5 Unit Root and Cointegration Tests in Spatial Cross-Section Data -- 6 Spatial Vector Autoregressions -- 7 Unit Root and Cointegration Tests for Spatially Dependent Panel Data -- 8 Cointegration in Non-Stationary Panel Data -- 9 Spatial Vector Error Correction -- 10 Strong and Weak Cross-Section Dependence in Non-Stationary Spatial Panel Data. . |
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Sommario/riassunto |
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This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the |
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spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial non-stationarity in spatial cross-section data, and a full exposition of non stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time criticalvalues for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel. . |
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