Statistical group comparison / / Tim Futing Liao

• Record Nr.: UNINA9911018903603321
• Autore: Liao Tim Futing
• Pubbl/distr/stampa: New York, : Wiley-Interscience, c2002
• ISBN: 9786613294845; 9781283294843; 1283294842; 9781118204214; 1118204212; 9781118150610; 1118150619
• Descrizione fisica: 1 online resource (240 p.)
• Collana: Wiley series in probability and statistics
• Disciplina: 519.5
• Soggetti: Mathematical statistics; Statistics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 199-206) and index.
• Nota di contenuto: Statistical Group Comparison; Contents; Preface; 1. Introduction; 1.1 Rationale for Statistical Comparison; 1.2 Comparative Research in the Social Sciences; 1.3 Focus of the Book; 1.4 Outline of the Book; 1.4.1 Chapter 2-Statistical Foundation for Comparison; 1.4.2 Chapter 3-Comparison in Linear Regression; 1.4.3 Chapter 4-Nonparametric Comparison; 1.4.4 Chapter 5-Comparing Rates; 1.4.5 Chapter 6-Comparison in Generalized Linear Models; 1.4.6 Chapter 7-Additional Topics of Comparison in Generalized Linear Models; 1.4.7 Chapter 8-Comparison in Structural Equation Modeling; 1.4.8 Chapter 9-Comparison with Categorical Latent Variables1.4.9 Chapter 10-Comparison in Multilevel Analysis; 1.4.10 Summary; 2. Statistical Foundation for Comparison; 2.1 A System for Statistical Comparison; 2.2 Test Statistics; 2.2.1 The x2 Test; 2.2.2 The t-Test; 2.2.3 The F-test; 2.2.4 The Likelihood Ratio Test; 2.2.5 The Wald Test; 2.2.6 The Lagrange Multiplier Test; 2.2.7 A Summary Comparison of LRT WT and LMT; 2.3 What to Compare?; 2.3.1 Comparing Distributions; 2.3.2 Comparing Data Structures; 2.3.3 Comparing ; Model Structures; 2.3.4 Comparing Model Parameters; 3. Comparison in Linear Models3.1 Introduction; 3.2 An Example; 3.3 Some Preliminary Considerations; 3.4 The Linear Model; 3.5 Comparing Two Means; 3.6 ANOVA; 3.7 Multiple Comparison Methods; 3.7.1 Least Significance Difference Test; 3.7.2 Tukey's Model; 3.7.3 Scheffé's Method; 3.7.4 Bonferroni's Method; 3.8 ANCOVA; 3.9 Multiple Linear Regression; 3.10 Regression Decomposition; 3.10.1 Rationale; 3.10.2 Algebraic Presentation; 3.10.3 Interpretation; 3.10.4 Extension to Multiple Regression; 3.11 Which Linear Method to Use?; 4. Nonparametric Comparison; 4.1 Nonparametic Tests; 4.1.1 Kolmogorov-Smirnov Two-Sample Test4.1.2 Mann-Whitney U-Test; 4.2 Resampling Methods; 4.2.1 Permutation Methods; 4.2.2 Bootstrapping Methods; 4.3 Relative Distribution Methods; 5. Comparison of Rates; 5.1 The Data; 5.2 Standardization; 5.2.1 Direct Standardization; 5.2.2 Indirect Standardization; 5.2.3 Model-Based Standardization; 5.3 Decomposition; 5.3.1 Arithmetic Decomposition; 5.3.2 Model-Based Decomposition; 6. Comparison in Generalized Linear Models; 6.1 Introduction; 6.1.1 The Exponential Family of Distributions; 6.1.2 The Link Function; 6.1.3 Maximum Likelihood Estimation; 6.2 Comparing Generalized Linear Models6.2.1 The Null Hypothesis; 6.2.2 Comparisons Using Likelihood Ratio Tests; 6.2.3 The Chow Test as a Special Case; 6.3 A Logit Model Example; 6.3.1 The Data; 6.3.2 The Model Comparison; 6.4 A Hazard Rate Model Example; 6.4.1 The Model; 6.4.2 The Data; 6.4.3 The Model Comparison; 6.A Data Used in Section 6.4; 7. Additional Topics of Comparison in Generalized Linear Models; 7.1 Introduction; 7.2 GLM for Matched Case-Control Studies; 7.2.1 The 1 : 1 Matched Study; 7.2.2 The 1 : m Design; 7.2.3 The n : m Design; 7.3 Dispersion Heterogeneity; 7.3.1 The Data; 7.3.2 Group Comparison with Heterogeneous Dispersion
• Sommario/riassunto: An incomparably useful examination of statistical methods for comparisonThe nature of doing science, be it natural or social, inevitably calls for comparison. Statistical methods are at the heart of such comparison, for they not only help us gain understanding of the world around us but often define how our research is to be carried out. The need to compare between groups is best exemplified by experiments, which have clearly defined statistical methods. However, true experiments are not always possible. What complicates the matter more is a great deal of diversity in factors that are not

Pena e ritorno / Giovanni Torrente, Daniela Ronco

• Record Nr.: UNINA9910220009303321
• Autore: Torrente Giovanni
• Pubbl/distr/stampa: Ledizioni, 2017; Milan : , : Ledizioni, , 2017
• Descrizione fisica: 1 electronic resource (139 p.)
• Collana: Quaderni del Dipartimento di giurisprudenza dell'Università di Torino ; ; 2/2017
• Disciplina: 365.660945
• Soggetti: Detenuti - Assistenza - Italia
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Un'opportunità di ricerca sui percorsi di reinserimento -- Welfare e agenzie post-moderne -- Gli itinerari della marginalità -- Un sistema penitenziario, tante esperienze detentive -- Nuove forme di sfruttamento dell'umanità in eccesso : l'ambigua funzione della borsa lavoro -- Recidiva e rientro in società -- Dispositivi di disciplinamento dell'eccedenza -- Conclusioni.
• Sommario/riassunto: This book was created following an opportunity that was given to us by a banking foundation. [...] The client's interest was to verify, after 10 years of activity, the effectiveness of the actions undertaken [in a social reintegration project] and the possible future developments of the project. An element of interest, perhaps the main one, was to understand what the paths of the project's users were, especially in terms of relapse into crime. From there was born the idea of ​​carrying out an empirical research that operated both quantitatively and qualitatively. [...] As sometimes happens, however, during the course of the research we soon realized that the comparison with the people we were interviewing was giving us much more than what was requested by the client. [...] What we were collecting with the interviews was a cross-section of our age and of the place that it reserves for social marginality. From the point of view of exhibition, the text follows the various phases of the criminalization process, from the experiences prior to the prison, up to the time of prison, to then enter the phase following the sentence. After an initial introductory chapter on the ; description of how the research was born, of how it was carried out and of the presentation of the sample involved, in the second chapter the study is inserted in the framework of the recent evolutions of the penal control paradigms. In the third chapter we therefore propose a picture of the social status of the users of the project and of work experiences up until the moment of imprisonment. In the fourth chapter we reflect on the prison and on the impact of the prison on the life course of the condemned to then arrive, in the fifth chapter, to narrate the meeting between the former prisoner and the agencies responsible for the re-socialization of the condemned. In the sixth chapter, we deal with the issue of recidivism and the return to society of the protagonists to ask ourselves about the relationship between a substantially low recurrence rate and a current condition, in many cases, of extreme poverty. Finally, in the last chapter we propose a more general reflection on the continuity of the marginalization process which sees as protagonists, both the agencies of criminal control and the services formally responsible for the social inclusion of the most disadvantaged categories.