The statistical analysis of failure time data / / John D. Kalbfleisch, Ross L. Prentice

• Record Nr.: UNINA9910829905403321
• Autore: Kalbfleisch J. D.
• Pubbl/distr/stampa: Hoboken, N.J. : , : J. Wiley, , [2002]
• ISBN: 1-282-24269-5; 9786613813817; 1-118-03298-5; 1-118-03123-7
• Edizione: [Second edition.]
• Descrizione fisica: 1 online resource (464 pages) : illustrations
• Collana: Wiley series in probability and statistics
• Disciplina: 519.287; 519.5
• Soggetti: Failure time data analysis; Survival analysis (Biometry); Regression analysis
• 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 (pages 404-427) and indexes
• Nota di contenuto: 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
• Sommario/riassunto: 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

Advances in Efficiency and Productivity / / edited by Juan Aparicio, C. A. Knox Lovell, Jesus T. Pastor

• Record Nr.: UNINA9910156337003321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (VI, 415 p. 65 illus., 36 illus. in color.)
• Collana: International Series in Operations Research & Management Science, , 0884-8289 ; ; 249
• Disciplina: 330.015195
• Soggetti: Econometrics; Production management; Operations Management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Chapter 1. Editors' Introduction -- Chapter 2. The Reverse Directional Distance Function -- Chapter 3. On Measuring Technological Possibilities by Hypervolumes -- Chapter 4. Loss Distance Functions and Profit Function: General Duality Results -- Chapter 5. Exact Relationships between Fisher Indexes and Theoretical Indexes -- Chapter 6. Productivity Interpretations of the Farrell Efficiency Measures and the Malmquist Index and its Decomposition -- Chapter 7. On the use of DEA Models with Weight Restrictions for Benchmarking and Target Setting -- Chapter 8. Endogenous Common Weights as a Collusive Instrument in Frontier-Based Regulation -- Chapter 9. A Parameterized Scheme of Metaheuristics to Solve NP-Hard Problems in Data Envelopment Analysis -- Chapter 10. Producing Innovations: Determinants of Innovativity and Efficiency -- Chapter 11. Potential Coopetition and Productivity among European Automobile Plants -- Chapter 12. Measuring Eco-Efficiency using the Stochastic Frontier Analysis Approach -- Chapter 13. Bankruptcy Prediction of Companies in the Retail-Apparel Industry Using Data Envelopment Analysis -- Chapter 14. Banking Crises, Early Warning Models, and Efficiency -- Chapter 15. A Decomposition of the Energy Intensity Change in Spanish ; Manufacturing -- The Aging U.S. Farmer: Should We Worry?.
• Sommario/riassunto: This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action. Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential “coopetition” or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.