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Counting processes and survival analysis [[electronic resource] /] / Thomas R. Fleming, David P. Harrington
Counting processes and survival analysis [[electronic resource] /] / Thomas R. Fleming, David P. Harrington
Autore Fleming Thomas R
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, 2005
Descrizione fisica 1 online resource (454 p.)
Disciplina 519.2/3
519.23
519.236
Altri autori (Persone) HarringtonDavid P
Collana Wiley series in probability and statistics
Soggetto topico Point processes
Failure time data analysis
Martingales (Mathematics)
ISBN 1-283-33236-1
9786613332363
1-118-15067-8
1-118-15066-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 2.4 Stochastic Integrals with Respect to Local Martingales2.5 Continuous Compensators; 2.6 Compensators with Discontinuities; 2.7 Summary; 2.8 Bibliographic Notes; 3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators; 3.1 Introduction; 3.2 Nonparametric Estimation of the Survival Distribution; 3.3 Some Finite Sample Properties of Linear Rank Statistics; 3.4 Consistency of the Kaplan-Meier Estimator; 3.5 Bibliographic Notes; 4. Censored Data Regression Models and Their Application; 4.1 Introduction; 4.2 The Proportional Hazards and Multiplicative Intensity Models
4.3 Partial Likelihood Inference4.4 Applications of Partial Likelihood Methods; 4.5 Martingale Residuals; 4.6 Applications of Residual Methods; 4.7 Bibliographic Notes; 5. Martingale Central Limit Theorem; 5.1 Preliminaries and Motivation; 5.2 Convergence of Martingale Difference Arrays; 5.3 Weak Convergence of the Process, U(n); 5.4 Bibliographic Notes; 6. Large Sample Results of the Kaplan-Meier Estimator; 6.1 Introduction; 6.2 A Large Sample Result for Kaplan-Meier and Weighted Logrank Statistics; 6.3 Confidence Bands for the Survival Distribution; 6.4 Bibliographic Notes
7. Weighted Logrank Statistics7.1 Introduction; 7.2 Large Sample Null Distribution; 7.3 Consistency of Tests of the Class κ; 7.4 Efficiencies of Tests of the Class κ; 7.5 Some Versatile Test Procedures; 7.6 Bibliographic Notes; 8. Distribution Theory for Proportional Hazards Regression; 8.1 Introduction; 8.2 The Partial Likelihood Score Statistic; 8.3 Estimators of the Regression Parameters and the Cumulative Hazard Function; 8.4 The Asymptotic Theory for Simple Models; 8.5 Asymptotic Relative Efficiency of Partial Likelihood Inference in the Proportional Hazards Model
8.6 Bibliographic NotesAppendix A. Some Results from Stieltjes Integration and Probability Theory; Appendix B. An Introduction to Weak Convergence; Appendix C. The Martingale Central Limit Theorem: Some Preliminaries; Appendix D. Data; Appendix E. Exercises; Bibliography; Notation; Author Index; Subject Index
Record Nr. UNINA-9910830973503321
Fleming Thomas R  
Hoboken, N.J., : Wiley-Interscience, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Counting processes and survival analysis / / Thomas R. Fleming, David P. Harrington
Counting processes and survival analysis / / Thomas R. Fleming, David P. Harrington
Autore Fleming Thomas R
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, 2005
Descrizione fisica 1 online resource (454 p.)
Disciplina 519.2/3
519.23
519.236
Altri autori (Persone) HarringtonDavid P
Collana Wiley series in probability and statistics
Soggetto topico Point processes
Failure time data analysis
Martingales (Mathematics)
ISBN 1-283-33236-1
9786613332363
1-118-15067-8
1-118-15066-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 2.4 Stochastic Integrals with Respect to Local Martingales2.5 Continuous Compensators; 2.6 Compensators with Discontinuities; 2.7 Summary; 2.8 Bibliographic Notes; 3. Finite Sample Moments and Large Sample Consistency of Tests and Estimators; 3.1 Introduction; 3.2 Nonparametric Estimation of the Survival Distribution; 3.3 Some Finite Sample Properties of Linear Rank Statistics; 3.4 Consistency of the Kaplan-Meier Estimator; 3.5 Bibliographic Notes; 4. Censored Data Regression Models and Their Application; 4.1 Introduction; 4.2 The Proportional Hazards and Multiplicative Intensity Models
4.3 Partial Likelihood Inference4.4 Applications of Partial Likelihood Methods; 4.5 Martingale Residuals; 4.6 Applications of Residual Methods; 4.7 Bibliographic Notes; 5. Martingale Central Limit Theorem; 5.1 Preliminaries and Motivation; 5.2 Convergence of Martingale Difference Arrays; 5.3 Weak Convergence of the Process, U(n); 5.4 Bibliographic Notes; 6. Large Sample Results of the Kaplan-Meier Estimator; 6.1 Introduction; 6.2 A Large Sample Result for Kaplan-Meier and Weighted Logrank Statistics; 6.3 Confidence Bands for the Survival Distribution; 6.4 Bibliographic Notes
7. Weighted Logrank Statistics7.1 Introduction; 7.2 Large Sample Null Distribution; 7.3 Consistency of Tests of the Class κ; 7.4 Efficiencies of Tests of the Class κ; 7.5 Some Versatile Test Procedures; 7.6 Bibliographic Notes; 8. Distribution Theory for Proportional Hazards Regression; 8.1 Introduction; 8.2 The Partial Likelihood Score Statistic; 8.3 Estimators of the Regression Parameters and the Cumulative Hazard Function; 8.4 The Asymptotic Theory for Simple Models; 8.5 Asymptotic Relative Efficiency of Partial Likelihood Inference in the Proportional Hazards Model
8.6 Bibliographic NotesAppendix A. Some Results from Stieltjes Integration and Probability Theory; Appendix B. An Introduction to Weak Convergence; Appendix C. The Martingale Central Limit Theorem: Some Preliminaries; Appendix D. Data; Appendix E. Exercises; Bibliography; Notation; Author Index; Subject Index
Record Nr. UNINA-9910877626103321
Fleming Thomas R  
Hoboken, N.J., : Wiley-Interscience, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A course in stochastic processes : stochastic models and statistical inference / by Denis Bosq and Hung T. Nguyen
A course in stochastic processes : stochastic models and statistical inference / by Denis Bosq and Hung T. Nguyen
Autore Bosq, Denis
Pubbl/distr/stampa Dordrecht ; Boston ; London : Kluwer Academic Publishers, c1996
Descrizione fisica x, 351 p. ; 25 cm.
Disciplina 519.23
Altri autori (Persone) Nguyen, Hung T.
Collana Theory and decision library. Series B, Mathematical and statistical methods ; 34
Soggetto topico Stochastic processes
ISBN 0792340876
Classificazione AMS 60G
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000798769707536
Bosq, Denis  
Dordrecht ; Boston ; London : Kluwer Academic Publishers, c1996
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Doubly stochastic Poisson processes / Jan Grandell
Doubly stochastic Poisson processes / Jan Grandell
Autore Grandell, Jan
Pubbl/distr/stampa Berlin [etc.] : Springer, 1976
Descrizione fisica X, 234 p. ; 25 cm.
Disciplina 519.23
Collana Lecture notes in mathematics
Soggetto topico Processo stocastico
ISBN 3-540-07795-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNIBAS-000013347
Grandell, Jan  
Berlin [etc.] : Springer, 1976
Materiale a stampa
Lo trovi qui: Univ. della Basilicata
Opac: Controlla la disponibilità qui
Doubly stochastic Poisson processes / / Jan Grandell
Doubly stochastic Poisson processes / / Jan Grandell
Autore Grandell Jan <1943->
Edizione [1st ed. 1976.]
Pubbl/distr/stampa Berlin ; ; Heidelberg ; ; New York : , : Springer-Verlag, , [1976]
Descrizione fisica 1 online resource (XII, 240 p.)
Disciplina 519.23
Collana Lecture notes in mathematics
Soggetto topico Poisson processes, Doubly stochastic
Measure theory
Prediction theory
ISBN 3-540-38258-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Definitions and basic properties -- Some miscellaneous results -- Characterization and convergence of non-atomic random measures -- Limit theorems -- Estimation of random variables -- Linear estimation of random variables in stationary doubly stochastic Poisson sequences -- Estimation of second order properties of stationary doubly stochastic Poisson sequences.
Record Nr. UNISA-996466502103316
Grandell Jan <1943->  
Berlin ; ; Heidelberg ; ; New York : , : Springer-Verlag, , [1976]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Doubly stochastic Poisson processes / Jan Grandell
Doubly stochastic Poisson processes / Jan Grandell
Autore Grandell, Jan
Pubbl/distr/stampa Berlin : Springer-Verlag, 1976
Descrizione fisica x, 234 p. : ill. ; 25 cm
Disciplina 519.23
Collana Lecture notes in mathematics, 0075-8434 ; 529
Soggetto topico Doubly stochastic
Measure theory
Point processes
Poisson processes
Prediction theory
Spectral analysis
ISBN 3540077952
Classificazione AMS 60G55
AMS 62M15
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000835749707536
Grandell, Jan  
Berlin : Springer-Verlag, 1976
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Dynamic probabilistic systems / Ronald A. Howard
Dynamic probabilistic systems / Ronald A. Howard
Autore Howard, Ronald A.
Pubbl/distr/stampa New York : Wiley, 1971
Descrizione fisica 2 v. ; 24 cm
Disciplina 519.23
Collana Series in decision and control
Soggetto non controllato Sistemi dinamici
Processi di Markov
ISBN 0471416657
0471416665
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.: Markov models 2.: Semi-Markov and decision processes
Titolo uniforme
Record Nr. UNIPARTHENOPE-000021043
Howard, Ronald A.  
New York : Wiley, 1971
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui
Dynamics of stochastic systems [[electronic resource] /] / V.I. Klyatskin
Dynamics of stochastic systems [[electronic resource] /] / V.I. Klyatskin
Autore Klyatskin V. I
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; San Diego, : Elsevier, 2005
Descrizione fisica 1 online resource (211 p.)
Disciplina 519.23
Soggetto topico Stochastic analysis
Statistical physics
Stochastic processes
Soggetto genere / forma Electronic books.
ISBN 1-281-03671-4
9786611036713
0-08-050485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; DYNAMICS OF STOCHASTIC SYSTEMS; Copyright Page; Preface; Contents; Introduction; Part I: Dynamical description of stochastic systems; Chapter 1. Examples, basic problems, peculiar features of solutions; 1.1 Ordinary differential equations: initial value problems; 1.2 Boundary-value problems for linear ordinary differential equations (plane waves in layered media); 1.3 Partial differential equations; Chapter 2. Solution dependence on problem type, medium parameters, and initial data; 2.1 Functional representation of problem solution; 2.2 Solution dependence on problem's parameters
ProblemsChapter 3. Indicator function and Liouville equation; 3.1 Ordinary differential equations; 3.2 First-order partial differential equations; 3.3 Higher-order partial differential equations; Problems; Part II: Statistical description of stochastic systems; Chapter 4. Random quantities, processes and fields; 4.1 Random quantities and their characteristics; 4.2 Random processes, fields, and their characteristics; 4.3 Markovian processes; Problems; Chapter 5. Correlation splitting; 5.1 General remarks; 5.2 Gaussian process; 5.3 Poisson process; 5.4 Telegrapher's random process
5.5 Delta-correlated random processesProblems; Chapter 6. General approaches to analyzing stochastic dynamic systems; 6.1 Ordinary differential equations; 6.2 Completely solvable stochastic dynamic systems; 6.3 Delta-correlated fields and processes; Problems; Chapter 7. Stochastic equations with the Markovian fluctuations of parameters; 7.1 Telegrapher's processes; 7.2 Gaussian Markovian processes; Problems; Chapter 8. Gaussian delta-correlated random field (ordinary differential equations); 8.1 The Fokker-Planck equation; 8.2 Transition probability distributions
8.3 Applicability range of the Fokker-Planck equationProblems; Chapter 9. Methods for solving and analyzing the Fokker-Planck equation; 9.1 Wiener random process; 9.2 Logarithmic-normal random process; 9.3 Integral transformations; 9.4 Steady-state solutions of the Fokker-Planck equation; 9.5 Boundary-value problems for the Fokker-Planck equation (transfer phenomena); 9.6 Method of fast oscillation averaging; Problems; Chapter 10. Gaussian delta-correlated random field (causal integral equations); Problems; Part III: Examples of coherent phenomena in stochastic dynamic systems
Chapter 11. Passive tracer clustering and diffusion in random hydrodynamic flows11.1 Lagrangian description (particle diffusion); 11.2 Diffusion of passive tracer concentration in random velocity field; 11.3 Effect of molecular diffusion; Problems; Chapter 12. Wave localization in randomly layered media; 12.1 Statistics of scattered field at layer boundaries; 12.2 Statistical theory of radiative transfer; 12.3 Numerical simulation; Problems; Bibliography; Index
Record Nr. UNINA-9910457457603321
Klyatskin V. I  
Amsterdam ; ; San Diego, : Elsevier, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Dynamics of stochastic systems [[electronic resource] /] / V.I. Klyatskin
Dynamics of stochastic systems [[electronic resource] /] / V.I. Klyatskin
Autore Klyatskin V. I
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; San Diego, : Elsevier, 2005
Descrizione fisica 1 online resource (211 p.)
Disciplina 519.23
Soggetto topico Stochastic analysis
Statistical physics
Stochastic processes
ISBN 1-281-03671-4
9786611036713
0-08-050485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; DYNAMICS OF STOCHASTIC SYSTEMS; Copyright Page; Preface; Contents; Introduction; Part I: Dynamical description of stochastic systems; Chapter 1. Examples, basic problems, peculiar features of solutions; 1.1 Ordinary differential equations: initial value problems; 1.2 Boundary-value problems for linear ordinary differential equations (plane waves in layered media); 1.3 Partial differential equations; Chapter 2. Solution dependence on problem type, medium parameters, and initial data; 2.1 Functional representation of problem solution; 2.2 Solution dependence on problem's parameters
ProblemsChapter 3. Indicator function and Liouville equation; 3.1 Ordinary differential equations; 3.2 First-order partial differential equations; 3.3 Higher-order partial differential equations; Problems; Part II: Statistical description of stochastic systems; Chapter 4. Random quantities, processes and fields; 4.1 Random quantities and their characteristics; 4.2 Random processes, fields, and their characteristics; 4.3 Markovian processes; Problems; Chapter 5. Correlation splitting; 5.1 General remarks; 5.2 Gaussian process; 5.3 Poisson process; 5.4 Telegrapher's random process
5.5 Delta-correlated random processesProblems; Chapter 6. General approaches to analyzing stochastic dynamic systems; 6.1 Ordinary differential equations; 6.2 Completely solvable stochastic dynamic systems; 6.3 Delta-correlated fields and processes; Problems; Chapter 7. Stochastic equations with the Markovian fluctuations of parameters; 7.1 Telegrapher's processes; 7.2 Gaussian Markovian processes; Problems; Chapter 8. Gaussian delta-correlated random field (ordinary differential equations); 8.1 The Fokker-Planck equation; 8.2 Transition probability distributions
8.3 Applicability range of the Fokker-Planck equationProblems; Chapter 9. Methods for solving and analyzing the Fokker-Planck equation; 9.1 Wiener random process; 9.2 Logarithmic-normal random process; 9.3 Integral transformations; 9.4 Steady-state solutions of the Fokker-Planck equation; 9.5 Boundary-value problems for the Fokker-Planck equation (transfer phenomena); 9.6 Method of fast oscillation averaging; Problems; Chapter 10. Gaussian delta-correlated random field (causal integral equations); Problems; Part III: Examples of coherent phenomena in stochastic dynamic systems
Chapter 11. Passive tracer clustering and diffusion in random hydrodynamic flows11.1 Lagrangian description (particle diffusion); 11.2 Diffusion of passive tracer concentration in random velocity field; 11.3 Effect of molecular diffusion; Problems; Chapter 12. Wave localization in randomly layered media; 12.1 Statistics of scattered field at layer boundaries; 12.2 Statistical theory of radiative transfer; 12.3 Numerical simulation; Problems; Bibliography; Index
Record Nr. UNINA-9910784591503321
Klyatskin V. I  
Amsterdam ; ; San Diego, : Elsevier, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Dynamics of stochastic systems / / V.I. Klyatskin
Dynamics of stochastic systems / / V.I. Klyatskin
Autore Klyatskin V. I
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; San Diego, : Elsevier, 2005
Descrizione fisica 1 online resource (211 p.)
Disciplina 519.23
Soggetto topico Stochastic analysis
Statistical physics
Stochastic processes
ISBN 1-281-03671-4
9786611036713
0-08-050485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; DYNAMICS OF STOCHASTIC SYSTEMS; Copyright Page; Preface; Contents; Introduction; Part I: Dynamical description of stochastic systems; Chapter 1. Examples, basic problems, peculiar features of solutions; 1.1 Ordinary differential equations: initial value problems; 1.2 Boundary-value problems for linear ordinary differential equations (plane waves in layered media); 1.3 Partial differential equations; Chapter 2. Solution dependence on problem type, medium parameters, and initial data; 2.1 Functional representation of problem solution; 2.2 Solution dependence on problem's parameters
ProblemsChapter 3. Indicator function and Liouville equation; 3.1 Ordinary differential equations; 3.2 First-order partial differential equations; 3.3 Higher-order partial differential equations; Problems; Part II: Statistical description of stochastic systems; Chapter 4. Random quantities, processes and fields; 4.1 Random quantities and their characteristics; 4.2 Random processes, fields, and their characteristics; 4.3 Markovian processes; Problems; Chapter 5. Correlation splitting; 5.1 General remarks; 5.2 Gaussian process; 5.3 Poisson process; 5.4 Telegrapher's random process
5.5 Delta-correlated random processesProblems; Chapter 6. General approaches to analyzing stochastic dynamic systems; 6.1 Ordinary differential equations; 6.2 Completely solvable stochastic dynamic systems; 6.3 Delta-correlated fields and processes; Problems; Chapter 7. Stochastic equations with the Markovian fluctuations of parameters; 7.1 Telegrapher's processes; 7.2 Gaussian Markovian processes; Problems; Chapter 8. Gaussian delta-correlated random field (ordinary differential equations); 8.1 The Fokker-Planck equation; 8.2 Transition probability distributions
8.3 Applicability range of the Fokker-Planck equationProblems; Chapter 9. Methods for solving and analyzing the Fokker-Planck equation; 9.1 Wiener random process; 9.2 Logarithmic-normal random process; 9.3 Integral transformations; 9.4 Steady-state solutions of the Fokker-Planck equation; 9.5 Boundary-value problems for the Fokker-Planck equation (transfer phenomena); 9.6 Method of fast oscillation averaging; Problems; Chapter 10. Gaussian delta-correlated random field (causal integral equations); Problems; Part III: Examples of coherent phenomena in stochastic dynamic systems
Chapter 11. Passive tracer clustering and diffusion in random hydrodynamic flows11.1 Lagrangian description (particle diffusion); 11.2 Diffusion of passive tracer concentration in random velocity field; 11.3 Effect of molecular diffusion; Problems; Chapter 12. Wave localization in randomly layered media; 12.1 Statistics of scattered field at layer boundaries; 12.2 Statistical theory of radiative transfer; 12.3 Numerical simulation; Problems; Bibliography; Index
Record Nr. UNINA-9910815426503321
Klyatskin V. I  
Amsterdam ; ; San Diego, : Elsevier, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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