| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990006972750403321 |
|
|
Autore |
Boccaccio, Giovanni <1313-1375> |
|
|
Titolo |
Il Decameron / Giovanni Boccaccio ; a cura di Aldo Francesco Massera |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Collana |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
Collocazione |
|
BIB. BAT.3391(1) |
BIB. BAT.3391(2) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNINA9910960459003321 |
|
|
Autore |
Moreira Amilcar |
|
|
Titolo |
The activation dilemma : reconciling the fairness and effectiveness of minimum income schemes in Europe / / Amilcar Moreira |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Bristol, : Policy Press, c2008 |
|
|
|
|
|
|
|
ISBN |
|
9786611975418 |
9781447303695 |
1447303695 |
9781281975416 |
1281975419 |
9781847423542 |
184742354X |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (ix, 155 pages) : digital, PDF file(s) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Basic income - Europe |
Public welfare - Europe |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
Note generali |
|
Title from publisher's bibliographic system (viewed on 21 Jan 2022). |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 137-148) and index. |
|
|
|
|
|
|
Nota di contenuto |
|
The activation dilemma; Contents; List of tables and figures; List of abbreviations; Acknowledgements; 1. Introduction; 2. The right to a minimum income: between Mead and Van Parijs; 3. Justifying a minimum income guarantee: the right to personal development; 4. The activation dilemma: a comparative study; 5. Measuring respect for the right to personal development; 6. The employment effectiveness of minimum income schemes; 7. The employment effectiveness of minimum income schemes and their respect for the right to personal development; 8. Conclusion |
Appendix A: Methodology for benefit comparisonAppendix B: Unemployment reintegration capacity (URC): sensitivity analysis; Appendix C: Qualitative comparative analysis: laws of Boolean algebra; References; Index |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
The activation of social welfare recipients has been, and still is, a central issue in the development of social and employment policies in Europe. This ambitious book explores the employment effectiveness of minimum income schemes, and provides the first comprehensive examination of its dependency on how the rights and obligations of the recipients are defined. The book argues that the right to a minimum income can only be adequately justified with reference to the individual's right to personal development. Combining political theory and policy analysis, the author draws on evidence from eight different European countries to illustrate how it is possible to combine higher levels of employment effectiveness with the respect for recipients' right to personal development. Exploring the balance between fairness and effectiveness in the activation of minimum income recipients and acknowledging that individuals have both rights and obligations, this book will provide a useful reference tool to students, researchers and policy-makers with an interest in the work versus welfare nexus. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9911019984103321 |
|
|
Autore |
Cahusac Peter <1957-> |
|
|
Titolo |
Evidence-based statistics : an introduction to the evidential approach from likelihood principle to statistical practice / / Peter M.B. Cahusac |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hoboken, NJ : , : Wiley, , [2021] |
|
|
|
|
|
|
|
ISBN |
|
9781119549819 |
1119549817 |
9781119549826 |
1119549825 |
9781119549833 |
1119549833 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
The Evidence is the Evidence -- The Evidential Approach -- Two Samples -- ANOVA -- Correlation and Regression -- Categorical Data -- Nonparametric Analyses -- Other Useful Techniques -- Orthogonal Polynomials -- Occam's Bonus -- Problems with p Values. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based |
|
|
|
|
|
|
|
|
|
|
methods of statistical inference, it provides a useful addition to any statistician's "bag of tricks." In this book: * It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion * Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) * Equations are given for all analyses, and R statistical code provided for many of the analyses * Sample size calculations for evidential probabilities of misleading and weak evidence are explained * Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis. |
|
|
|
|
|
| |