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Describes the welfare implications of keeping wild and domestic birds in captivity. The environmental and social requirements of various avian species are discussed and suggestions made for appropriate housing and management techniques. Particular attention is paid to human-bird interactions and their impact on the behavior and welfare of the birds involved. Training methods for companion birds are also described. Possible future trends in keeping birds in captivity are discussed in relation to evolving laws and codes for both wild and domesticated birds and in the light of developing attitudes to animals.

Life Sciences. --- Zoology. --- Animal Genetics and Genomics. --- Animal Physiology. --- Behavioural Sciences. --- Veterinary Medicine. --- Life sciences. --- Veterinary medicine. --- Animal behavior. --- Animal genetics. --- Sciences de la vie --- Médecine vétérinaire --- Animaux --- Zoologie --- Génétique animale --- Moeurs et comportement --- 590.2 --- dierenwelzijn (lt) --- vogels (lt) --- Animal welfare --- Aviculture --- Bird culture --- Birds --- Culture, Bird --- Rearing of birds --- Animal culture --- Abuse of animals --- Animal cruelty --- Animals --- Animals, Cruelty to --- Animals, Protection of --- Animals, Treatment of --- Cruelty to animals --- Humane treatment of animals --- Kindness to animals --- Mistreatment of animals --- Neglect of animals --- Prevention of cruelty to animals --- Protection of animals --- Treatment of animals --- Welfare, Animal --- Culture --- Husbandry --- Rearing --- Abuse of --- Social aspects

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Animal welfare is attracting increasing interest worldwide, but particularly from those in developed countries, who now have the knowledge and resources to be able to offer the b est management systems for their farm animals, as well as potentially being able to offer plentiful resources for companion, zoo and laboratory animals. The increased attention given to animal welfare in the West derives la rgely from the fact that the relentless pursuit of financial reward and efficiency has lead to the development of intensive animal production systems that offend the conscience of many consumers in those countries. In devel oping countries, human survival is still a daily uncertainty, so that provision fo r animal welfare has to be balanced against human welfare. Welfare is usua lly provided for only if it supports the output of the animal, be it food, work, clothing, sport or companionship. In reality there are resources for all if they are properly husbanded in both developing and developed countries. The inequitable division of the world’s riches creates physical and psychological poverty for humans and animals alike in all sectors of the world. Liv estock are the world’s biggest land user (FAO, 2002) and the population, particularly of monogastric animals, is increasing rapidly to meet the need of an expanding human population. Populations of animals managed by humans are therefore increasing worldwide, so there is the tendency to allocate fewer resources to each one.

Animal Welfare. --- Animals, Laboratory. --- Animal welfare. --- Laboratory animals. --- Animaux --- Animaux de laboratoire --- Protection --- Agriculture. --- Laboratory animals --- Animal welfare --- Animal Welfare --- Animals, Laboratory --- Animal Population Groups --- Social Control, Formal --- Sociology --- Animals --- Social Sciences --- Eukaryota --- Anthropology, Education, Sociology and Social Phenomena --- Organisms --- Zoology - General --- Social Welfare & Social Work - General --- Animal Sciences --- Zoology --- Agriculture --- Social Welfare & Social Work --- Health & Biological Sciences --- Earth & Environmental Sciences --- Animals, Experimental --- Animals in research --- Experimental animals --- Lab animals --- Animal culture --- Laboratory organisms --- Working animals --- Animal experimentation --- Abuse of animals --- Animal cruelty --- Animals, Cruelty to --- Animals, Protection of --- Animals, Treatment of --- Cruelty to animals --- Humane treatment of animals --- Kindness to animals --- Mistreatment of animals --- Neglect of animals --- Prevention of cruelty to animals --- Protection of animals --- Treatment of animals --- Welfare, Animal --- Abuse of --- Social aspects --- Zoology. --- Animal genetics. --- Animal behavior. --- Animal physiology. --- Veterinary medicine. --- Animal Genetics and Genomics. --- Behavioral Sciences. --- Animal Physiology. --- Veterinary Medicine/Veterinary Science. --- Farriery --- Large animal medicine --- Large animal veterinary medicine --- Livestock medicine --- Veterinary science --- Medicine --- Animal health --- Domestic animals --- Livestock --- Animal physiology --- Biology --- Anatomy --- Animals, Habits and behavior of --- Behavior, Animal --- Ethology --- Animal psychology --- Ethologists --- Psychology, Comparative --- Genetics --- Natural history --- Diseases --- Losses --- Physiology --- Behavior --- Behavioral sciences. --- Animal Husbandry. --- Dogs. --- Rabbits. --- Animal Husbandry --- Dogs --- Rabbits --- Primates --- Rodents --- Swine

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Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models. It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included. Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models. Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medicine of the Ghent University, Belgium. He is board member of the Quetelet Society (Belgian Region of the International Biometric Society) and of the International Biometric Society Channel Network. He has collaborated extensively with physicians in oncology and allergy, public health workers and veterinarians, and is an author of numerous papers in statistical, medical and veterinarian journals. Paul Janssen is Professor of Statistics at the Centre for Statistics of the Hasselt University, Diepenbeek, Belgium. He is an elected member of the International Statistical Institute. He spent research visits at the Johns Hopkins University (Baltimore, USA) and the University of Washington (Seattle, USA). His research interests include survival analysis, nonparametric estimation, resampling techniques and asymptotic theory.

epidemiologie --- biostatistiek --- Biomathematics. Biometry. Biostatistics --- vormgeving --- besmettelijke ziekten --- Oncology. Neoplasms --- biomathematica --- simulaties --- Artificial intelligence. Robotics. Simulation. Graphics --- oncologie --- Infectious diseases. Communicable diseases --- biometrie --- medische statistiek --- Epidemiology --- Mathematical statistics --- Survival Analysis --- Statistics --- Statistique --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- Statistics. --- 57.087.1 --- 616-036.8 --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- 616-036.8 Final stage. Termination. Consequences. Results. Successes. Setbacks. Failures. Efficacy. Inefficacy. Survival. Statistics. Mortality in a specific disease --- Final stage. Termination. Consequences. Results. Successes. Setbacks. Failures. Efficacy. Inefficacy. Survival. Statistics. Mortality in a specific disease --- Distribution (Probability theory. --- Oncology. --- Computer simulation. --- Biometry. --- Emerging infectious diseases. --- Probability Theory and Stochastic Processes. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Cancer Research. --- Simulation and Modeling. --- Biometrics. --- Infectious Diseases. --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Tumors --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Probabilities. --- Statistics . --- Cancer research. --- Biometrics (Biology). --- Infectious diseases. --- Cancer research --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk