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1. |
Record Nr. |
UNINA9910641196203321 |
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Autore |
Vassiliades Georgios |
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Titolo |
La res publica et sa décadence : De Salluste à Tite-Live / / Georgios Vassiliades |
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Pubbl/distr/stampa |
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Bordeaux, : Ausonius Éditions, 2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (692 p.) |
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Soggetti |
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History |
Salluste |
Tite-Live |
décadence |
progrès |
historiographie romaine |
histoire romaine |
philosophie politique |
philosophie de l'histoire |
res publica |
Auguste |
Rome History Empire, 284-476 |
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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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Sommario/riassunto |
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Cette étude explore dans une perspective comparative la présentation historique et l’interprétation philosophique de la décadence de la res publica chez Salluste et Tite‑Live. Dans la première partie, il est montré que Salluste et Tite-Live sont les premiers auteurs à avoir choisi comme thème central de leur récit le progrès et la décadence d’une cité. À travers un examen précis des étapes de la décadence chez les deux auteurs, il est remarqué que Tite‑Live apporte constamment des corrections à la théorie de Salluste. Le schéma d’aucun des deux historiens ne se conforme à une vision cyclique ou linéaire du temps. La représentation biologique de la cité montre aussi que les hommes |
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sont les seuls responsables pour la maladie de la décadence. Or, la reprise du progrès, selon une conception cyclique et la guérison du corps de l’État sont évoquées comme perspectives seulement par Tite-Live. La deuxième partie est consacrée aux causes de la maladie de la décadence, et la troisième à la guérison de la res publica. Trois facteurs sont examinés en détail : les facteurs « divins », le metus hostilis et la nature humaine. Tite-Live renverse l’analyse de plus en plus pessimiste de Salluste, et réintroduit l’homme en tant que facteur principal de l’histoire et comme responsable de la décadence. Dans la troisième partie, leur vision différente de l’avenir de Rome est mise en lumière, à travers l’étude de la position politique et de la fonction exemplaire de l’œuvre des deux historiens. Il en ressort que Tite-Live adopte les catégories sallustéennes d’analyse, mais conçoit sa propre présentation et interprétation de la décadence en réponse à son devancier, dont il renverse les théories. |
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2. |
Record Nr. |
UNINA9910829905403321 |
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Autore |
Kalbfleisch J. D. |
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Titolo |
The statistical analysis of failure time data / / John D. Kalbfleisch, Ross L. Prentice |
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Pubbl/distr/stampa |
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Hoboken, N.J. : , : J. Wiley, , [2002] |
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ISBN |
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1-282-24269-5 |
9786613813817 |
1-118-03298-5 |
1-118-03123-7 |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (464 pages) : illustrations |
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Collana |
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Wiley series in probability and statistics |
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Disciplina |
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Soggetti |
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Failure time data analysis |
Survival analysis (Biometry) |
Regression analysis |
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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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Description based upon print version of record |
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Nota di bibliografia |
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Includes bibliographical references (pages 404-427) and indexes |
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Nota di contenuto |
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The Statistical Analysis of Failure Time Data; Contents; Preface; 1. Introduction; 1.1 Failure Time Data; 1.2 Failure Time Distributions; 1.3 Time Origins, Censoring, and Truncation; 1.4 Estimation of the Survivor Function; 1.5 Comparison of Survival Curves; 1.6 Generalizations to Accommodate Delayed Entry; 1.7 Counting Process Notation; Bibliographic Notes; Exercises and Complements; 2. Failure Time Models; 2.1 Introduction; 2.2 Some Continuous Parametric Failure Time Models; 2.3 Regression Models; 2.4 Discrete Failure Time Models; Bibliographic Notes; Exercises and Complements |
3. Inference in Parametric Models and Related Topics3.1 Introduction; 3.2 Censoring Mechanisms; 3.3 Censored Samples from an Exponential Distribution; 3.4 Large-Sample Likelihood Theory; 3.5 Exponential Regression; 3.6 Estimation in Log-Linear Regression Models; 3.7 Illustrations in More Complex Data Sets; 3.8 Discrimination Among Parametric Models; 3.9 Inference with Interval Censoring; 3.10 Discussion; Bibliographic Notes; Exercises and Complements; 4. Relative Risk (Cox) Regression Models; 4.1 Introduction; 4.2 Estimation of β; 4.3 Estimation of the Baseline Hazard or Survivor Function |
4.4 Inclusion of Strata4.5 Illustrations; 4.6 Counting Process Formulas; 4.7 Related Topics on the Cox Model; 4.8 Sampling from Discrete Models; Bibliographic Notes; Exercises and Complements; 5. Counting Processes and Asymptotic Theory; 5.1 Introduction; 5.2 Counting Processes and Intensity Functions; 5.3 Martingales; 5.4 Vector-Valued Martingales; 5.5 Martingale Central Limit Theorem; 5.6 Asymptotics Associated with Chapter 1; 5.7 Asymptotic Results for the Cox Model; 5.8 Asymptotic Results for Parametric Models; 5.9 Efficiency of the Cox Model Estimator; 5.10 Partial Likelihood Filtration |
Bibliographic NotesExercises and Complements; 6. Likelihood Construction and Further Results; 6.1 Introduction; 6.2 Likelihood Construction in Parametric Models; 6.3 Time-Dependent Covariates and Further Remarks on Likelihood Construction; 6.4 Time Dependence in the Relative Risk Model; 6.5 Nonnested Conditioning Events; 6.6 Residuals and Model Checking for the Cox Model; Bibliographic Notes; Exercises and Complements; 7. Rank Regression and the Accelerated Failure Time Model; 7.1 Introduction; 7.2 Linear Rank Tests; 7.3 Development and Properties of Linear Rank Tests |
7.4 Estimation in the Accelerated Failure Time Model7.5 Some Related Regression Models; Bibliographic Notes; Exercises and Complements; 8. Competing Risks and Multistate Models; 8.1 Introduction; 8.2 Competing Risks; 8.3 Life-History Processes; Bibliographic Notes; Exercises and Complements; 9. Modeling and Analysis of Recurrent Event Data; 9.1 Introduction; 9.2 Intensity Processes for Recurrent Events; 9.3 Overall Intensity Process Modeling and Estimation; 9.4 Mean Process Modeling and Estimation; 9.5 Conditioning on Aspects of the Counting Process History; Bibliographic Notes |
Exercises and Complements |
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Sommario/riassunto |
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Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.Introduces the martingale and counting process formulation swil lbe in a new chapter.Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.Presents new examples and applications of data analysis |
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