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1. |
Record Nr. |
UNINA9910144256103321 |
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Titolo |
Health impacts of large releases of radionuclides [[electronic resource]] |
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Pubbl/distr/stampa |
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Chichester ; ; New York, : J. Wiley & Sons, 1997 |
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ISBN |
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1-282-34801-9 |
9786612348013 |
0-470-51500-7 |
0-470-51527-9 |
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Descrizione fisica |
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1 online resource (258 p.) |
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Collana |
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Ciba Foundation symposium ; ; 203 |
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Altri autori (Persone) |
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LakeJ. V |
BockGregory |
CardewGail |
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Disciplina |
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Soggetti |
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Radioactive pollution - Health aspects |
Radioecology |
Radioactive pollution - Environmental aspects |
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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"Editors: John V. Lake, Gregory R. Bock (organizers), and Gail Cardew"--Contents. |
"Symposium on health impacts of large releases of radionuclides, held in collaboration with the European Environmental Research Organisation, at the Hotel St. Petersburg, St. Petersburg, Russia on 27-29 February 1996"--Contents. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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HEALTH IMPACTS OF LARGE RELEASES OF RADIONUCLIDES; Contents; Participants; Introduction; Physical transport and chemical and biological processes in agricultural systems; The radioecological significance of semi-natural ecosvstems; General discussion I; Transport and processes in freshwater ecosystems; Radioactive contamination of the marine environment; Impacts on plant and animal populations; General discussion II; Roles of micro-organisms in the environmental fate of radionuclides; The fate and impact of radiocontaminants in urban areas |
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Internal exposure of populations to long-lived radionuclides released into the environmentGeneral discussion III; Interactions with human nutrition and other indices of population health; Biological effects of prenatal irradiation; Late somatic health effects; Retrospective radiation dose assessment: an overview of physical and biological measures of dose; Cytogenetic effects as quantitative indicators of radiation exposure; Mental health, stress and risk perception: insights from psychological research; Final discussion; Summary; Index of contributors; Subject index |
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Sommario/riassunto |
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This up-to-the-minute account examines how radionuclides affect human health. It explores how radionuclides travel through various food chains and how they are transported throughout the terrestrial and aquatic environments. |
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2. |
Record Nr. |
UNINA9910377813603321 |
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Autore |
van de Schoot Rens |
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Titolo |
Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević |
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Pubbl/distr/stampa |
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Taylor & Francis, 2020 |
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London : , : Routledge, Taylor & Francis Group, , 2020 |
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ISBN |
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1-000-76101-0 |
1-000-76108-8 |
0-367-22222-1 |
0-429-27387-8 |
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Descrizione fisica |
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1 online resource (xiv, 269 pages) : digital, PDF file(s) |
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Collana |
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European Association of Methodology series |
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Disciplina |
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Soggetti |
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Research - Methodology |
Data sets |
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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 and index. |
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Nota di contenuto |
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Introduction (Van de Schootand Miočević) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Miočević, Levy,and van de Schoot) 2.The role of exchangeability in sequential updating |
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of findings from small studies and the challenges of identifying exchangeable data sets (Miočević, Levy,and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics(van de Schoot, Veen, Smeets, Winter,and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research(Rioux, Stickley, Odejimi,and Little) 15. Small samples in multilevel modeling(Hoxand McNeish) 16. Small sample solutions for structural equation modeling(Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index |
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Sommario/riassunto |
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Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This uniquebook provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapterillustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. Thisessential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect.The statistical models in the book rangefrom the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods.All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics. |
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3. |
Record Nr. |
UNINA9910812971403321 |
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Titolo |
Income and wealth inequality / / edited by Justin Healey |
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Pubbl/distr/stampa |
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Thirroul, New South Wales : , : The Spinney Press, , 2015 |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (60 pages) : colour illustrations |
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Collana |
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Issues in Society ; ; Volume 382 |
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Disciplina |
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Soggetti |
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Income distribution - Australia |
Wealth - Australia |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Measuring income and wealth inequality -- Chapter 2. Impacts of the wealth divide. |
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Sommario/riassunto |
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Australia is one of the wealthiest countries in the world and has long prided itself on being an egalitarian society. However, there is a growing divide between those with the most and those with the least. Income inequality has grown as the minimum wage and unemployment benefits have failed to match the rise in average earnings, resulting in a divergence between low-income earners and average Australian wage earners. Current estimates indicate that senior executive pay is 150 times greater than average weekly earnings. In addition to income disparity, wealth in Australia is also unequally distributed, with household wealth being heavily skewed to 'real assets' - essentially, property ownership. How are income and wealth inequality measured in Australia, and what are the impacts of this rising inequality? Should we be trying harder to bridge the gap between the haves and have-nots? |
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