Bayesian Claims Reserving Methods in Non-life Insurance with Stan [[electronic resource] ] : An Introduction / / by Guangyuan Gao |
Autore | Gao Guangyuan |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (205 pages) |
Disciplina | 519.542 |
Soggetto topico |
Statistics
Economic theory Bayesian Inference Statistics for Business, Management, Economics, Finance, Insurance Economic Theory/Quantitative Economics/Mathematical Methods |
ISBN | 981-13-3609-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter1 Introduction -- Chapter2 Bayesian Fundamentals -- Chapter3 Advanced Bayesian Computation -- Chapter4 Bayesian Chain Ladder Models -- Chapter5 Bayesian Basis Expansion Models -- Chapter6 Multivariate Modelling Using Copulas -- Chapter7 Epilogue. |
Record Nr. | UNINA-9910303447503321 |
Gao Guangyuan | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Bayesian computation with R [e-book] / by Jim Albert |
Autore | Albert, Jim |
Pubbl/distr/stampa | New York, NY : Springer, 2009 |
Descrizione fisica | v.: digital |
Soggetto topico |
Computer science - Mathematics
Computer simulation Mathematical optimization Mathematical statistics Statistics Visualization |
ISBN | 9780387922980 |
Formato | Software |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000522969707536 |
Albert, Jim | ||
New York, NY : Springer, 2009 | ||
Software | ||
Lo trovi qui: Univ. del Salento | ||
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Bayesian evaluation of informative hypotheses [e-book] / edited by Herbert Hoijtink, Irene Klugkist, Paul A. Boelen |
Pubbl/distr/stampa | New York : Springer, 2009 |
Descrizione fisica | v.: digital |
Altri autori (Persone) |
Hoijtink, Herbert
Klugkist, Irene Boelen, Paul A. |
Collana | Statistics for Social and Behavioral Sciences |
Soggetto topico |
Mathematical statistics
Statistics |
ISBN | 9780387096124 |
Formato | Software |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000517779707536 |
New York : Springer, 2009 | ||
Software | ||
Lo trovi qui: Univ. del Salento | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (367 pages) |
Disciplina | 519.542 |
Collana | Emerging Topics in Statistics and Biostatistics |
Soggetto topico |
Statistics
Clinical medicine - Research Bayesian Inference Bayesian Network Clinical Research Estadística bayesiana |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-88658-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions -- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring -- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data -- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring -- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments -- 6. Bayesian Analysis of Stochastic Processes in Reliability -- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process -- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula -- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment -- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes -- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data -- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework -- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors -- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions -- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients -- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies. |
Record Nr. | UNISA-996485662503316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis / / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (367 pages) |
Disciplina | 519.542 |
Collana | Emerging Topics in Statistics and Biostatistics |
Soggetto topico |
Statistics
Clinical medicine - Research Bayesian Inference Bayesian Network Clinical Research Estadística bayesiana |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-88658-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions -- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring -- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data -- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring -- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments -- 6. Bayesian Analysis of Stochastic Processes in Reliability -- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process -- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula -- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment -- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes -- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data -- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework -- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey’s Priors -- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions -- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients -- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies. |
Record Nr. | UNINA-9910586592203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura |
Autore | Matsuura Kentaro |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (395 pages) |
Disciplina | 519.542 |
Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811947551
9789811947544 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
Record Nr. | UNISA-996508571103316 |
Matsuura Kentaro | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura |
Autore | Matsuura Kentaro |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (395 pages) |
Disciplina | 519.542 |
Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811947551
9789811947544 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
Record Nr. | UNINA-9910645896403321 |
Matsuura Kentaro | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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A beginner's guide to R [e-book] / by Alain F. Zuur, Elena N. Ieno, Erik Meesters |
Autore | Zuur, Alain F. |
Pubbl/distr/stampa | New York, NY : Springer, 2009 |
Descrizione fisica | v.: digital |
Altri autori (Persone) |
Ieno, Elena N.
Meesters, Erik |
Collana | Use R |
Soggetto topico |
Ecology
Mathematical statistics Statistics |
ISBN | 9780387938370 |
Formato | Software |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000523069707536 |
Zuur, Alain F. | ||
New York, NY : Springer, 2009 | ||
Software | ||
Lo trovi qui: Univ. del Salento | ||
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Belief, Evidence, and Uncertainty : Problems of Epistemic Inference / / by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper |
Autore | Bandyopadhyay Prasanta S |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (180 p.) |
Disciplina | 100 |
Collana | Philosophy of Science |
Soggetto topico |
Science - Philosophy
Statistics Logic Philosophy of Science Statistical Theory and Methods |
ISBN | 3-319-27772-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Confirmation and Evidence -- Chapter 3. Confirmation, Evidence and Inference -- Chapter 4. Subjective Bayesian Accounts of Evidence -- Chapter 5. Mapping the Concept of Misleading Evidence -- Chapter 6. Non-Bayesian Accounts of Evidence -- Chapter 7. Error-Statistics and Severe Testing -- Chapter 8. Confirmation/Evidence Epistemology and Resolution of Paradoxes -- Chapter 9. Concluding Remarks. |
Record Nr. | UNINA-9910255348203321 |
Bandyopadhyay Prasanta S | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Benford’s Law and Macroeconomic Data Quality / / Jesus Gonzalez-Garcia, Gonzalo Pastor Campos |
Autore | Gonzalez-Garcia Jesus |
Pubbl/distr/stampa | Washington, D.C. : , : International Monetary Fund, , 2009 |
Descrizione fisica | 1 online resource (22 p.) |
Disciplina | 339 |
Altri autori (Persone) | Pastor CamposGonzalo |
Collana | IMF Working Papers |
Soggetto topico |
Business & Economics
Economic Theory Investments: General Macroeconomics Money and Monetary Policy Statistics Econometric and Statistical Methods: General Methodology for Collecting, Estimating, and Organizing Macroeconomic Data Data Access Measurement and Data on National Income and Product Accounts and Wealth Environmental Accounts Monetary Systems Standards Regimes Government and the Monetary System Payment Systems General Aggregative Models: General Investment Capital Intangible Capital Capacity Data Collection and Data Estimation Methodology Computer Programs: Other Current Account Adjustment Short-term Capital Movements Econometrics & economic statistics Monetary economics Currencies National accounts Gross fixed investment Government finance statistics Balance of payments statistics Money Economic and financial statistics National income Saving and investment Finance Balance of payments |
ISBN |
1-4623-0634-9
1-4527-9144-9 1-4518-7157-0 9786612842320 1-282-84232-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; I. Introduction; II. Benford's Law and Testing Methodology; A. Benford's Law; B. Testing Methodology; III. Conformity of Macroeconomic Data with Benford's Law; IV. Comparison of Goodness of Fit Tests Results with ROSC Assessments of Data Quality; V. Can Tests of Conformity with Benford's Law be Considered Reliable Indicators of Macroeconomic Data Quality ?; VI. Conclusion; Text Tables; 1. Banking Survey Statistics: Goodness of Fit Tests; 2. Balance of Payments Statistics: Goodness of Fit Tests; 3. National Accounts Statistics: Goodness of Fit Tests
4. Government Finance Statistics: Goodness of Fit Tests5. Rejections of Benford's Law and Shares of LNO and NO Ratings; Appendix: Country Groups and Data Series Used; Appendix Tables; A.1. Groups of Countries; A2. Data Series Tested; Text Figures; 1. Finland and Japan Nominal GDP; 2. Niger Nominal GDP, Household Consumption and Gross Fixed Capital Formation; References |
Record Nr. | UNINA-9910788348803321 |
Gonzalez-Garcia Jesus | ||
Washington, D.C. : , : International Monetary Fund, , 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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