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Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Advanced Sampling Methods / / by Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Autore Latpate Raosaheb
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVII, 301 p. 23 illus., 13 illus. in color.)
Disciplina 519.52
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Bayesian Inference
Statistics and Computing
ISBN 9789811606229
9811606226
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -1. Introduction -- 2. Simple Random Sampling -- 3. Stratied Random Sampling -- 4. Cluster Sampling -- 5. Double Sampling -- 6. Probability Proportional to Size Sampling -- 7. Systematic Sampling -- 8. Resampling Techniques -- 9. Adaptive Cluster Sampling -- 10. Two-Stage Adaptive Cluster Sampling -- 11. Adaptive Cluster Double Sampling -- 12. Inverse Adaptive Cluster Sampling -- 13. Two Stage Inverse Adaptive Cluster Sampling -- 14. Stratified Inverse Adaptive Cluster Sampling -- 15. Negative Adaptive Cluster Sampling -- 16. Negative Adaptive Cluster Double Sampling -- 17. Two- Stage Negative Adaptive Cluster Sampling -- 18. Balanced and Unbalanced Ranked Set Sampling -- 19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference -- 20. Important Versions of Ranked Set Sampling -- 21. Sampling Errors.
Record Nr. UNINA-9910484590903321
Latpate Raosaheb  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Supervised and Semi-supervised Learning : Theory and Algorithms / / by Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning : Theory and Algorithms / / by Massih-Reza Amini
Autore Amini Massih-Reza
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XVIII, 309 p. 1 illus.)
Disciplina 006.3
Collana Cognitive Technologies
Soggetto topico Artificial intelligence
Machine learning
Information storage and retrieval systems
Computer vision
Python (Computer program language)
Statistics
Artificial Intelligence
Machine Learning
Information Storage and Retrieval
Computer Vision
Python
Bayesian Inference
ISBN 3-031-99928-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Fundamentals of Supervised Learning -- 2. Data-dependent generalization bounds -- 3. Descent direction optimization algorithms -- 4. Deep Learning -- 5. Support Vector Machines -- 6. Boosting -- 7. Semi-supervised Learning -- 8. Learning-To-Rank -- Appendix: Probability reminders.
Record Nr. UNINA-9911034943203321
Amini Massih-Reza  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Reliability, Failure and Risk Analysis / / edited by Harish Garg
Advances in Reliability, Failure and Risk Analysis / / edited by Harish Garg
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XII, 409 p. 160 illus., 119 illus. in color.)
Disciplina 620.00452
Collana Industrial and Applied Mathematics
Soggetto topico Quantitative research
Statistics
Financial risk management
Data Analysis and Big Data
Statistical Theory and Methods
Risk Management
Bayesian Inference
Avaluació del risc
Fiabilitat (Enginyeria)
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 9789811999093
9811999090
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Degradation and Failure Mechanisms of Complex Systems: Principles -- Simplified Approach to Analyse Fuzzy Reliability of a Repairable System -- Fault-Tolerant and Resilient Neural Control for Discrete-Time Nonlinear Systems -- Bayesian Reliability Analysis of the Topp–Leone Model under Different Loss Functions -- Availability Analysis of Non-Markovian Models with Rejuvenation and Check Pointing -- Reliability Metrics of Textile Confection Plant Using Copula Linguistic -- An Application of Soft Computing in Oil Condition Monitoring -- A Multi-Parameter Occupational Safety Risk Assessment Model for Chemicals in the University Laboratories by an MCDM-Sorting Method -- Failure Mode and Effect Analysis (FMEA) for Safety-Critical Systems in the Context of Industry 4.0 -- Optimization of Redundancy Allocation Problem Using QPSO Algorithm under Uncertain Environment -- Resilience: Enterprise Sustainability Based to Risk Management -- Reliability Analysis of Process Systems Using Intuitionistic Fuzzy SetTheory -- Smart Systems Risk Management in IoT-Based Supply Chain -- Risk and Reliability Analysis in the Era of Digital Transformation -- Distributed System Reliability Analysis with Two Coverage Factors: A Copula Approach -- Qualitative Analysis Method for Evaluation of Risk and Failures in Wind Power Plants: A Case Study of Turkey -- Some Discrete Parametric Markov-Chain System Models to Analyze Reliability -- Repair and Maintenance Management System of Food Processing Equipment: A Systematic Literature Review -- Reliability, Availability, Maintainability and Dependability of a Serial Rice Mill Plant with the Incorporation of Coverage Factor.
Record Nr. UNINA-9910686470203321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Statistics - Theory and Applications [[electronic resource] ] : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Advances in Statistics - Theory and Applications [[electronic resource] ] : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (xxxviii, 421 pages)
Disciplina 519.5
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Biometry
Probabilities
Statistical Theory and Methods
Biostatistics
Probability Theory
Bayesian Inference
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-62900-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng -- 2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor -- 3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker -- 4. Properties of system lifetime distributions in the classic model of independent exponential component lifetimes - Tomasz Rychlik -- 5. On the exact statistical distribution of econometric estimators and test statistics - Yong Bao, Xiaotian Liu, Aman Ullah -- 6. On conditional tail inferences from multivariate distributions - Harry Joe -- 7. A bivariate distribution with generalized exponential conditionals: Theory and applications - Miroslav Ristic, Bozidar V. Popovic, Indranil Ghosh -- 8. Assessment of distributional goodness-of-fit for modeling the superposition of renewal process data - Wei Zhang, William Q. Meeker -- 9. Skew-Elliptical Thomas point processes - Ngoc Anh Dao, Marc G. Genton -- 10. Bayesian model assessment and selection using Bregman divergence - Gyuhyeong Goh, Dipak K. Dey -- 11. On hidden truncation in non-normal models - Indranil Ghosh, Hon Keung Tony Ng.
Record Nr. UNISA-996466395303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Statistics - Theory and Applications : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Advances in Statistics - Theory and Applications : Honoring the Contributions of Barry C. Arnold in Statistical Science / / edited by Indranil Ghosh, N. Balakrishnan, Hon Keung Tony Ng
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (xxxviii, 421 pages)
Disciplina 519.5
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Biometry
Probabilities
Statistical Theory and Methods
Biostatistics
Probability Theory
Bayesian Inference
ISBN 9783030629007
3030629007
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Wrapped gamma distribution for modeling and inference with asymmetric circular data - Ashis SenGupta, Carlos A. Coelho, Choung Min Ng -- 2. Goodness of fit tests for Cauchy distributions using data transformations - Jose A. Villasenor -- 3. A note on the product of independent beta random variables - Filipe J. Marques, Indranil Ghosh, Johan Ferreira, Andriette Bekker -- 4. Properties of system lifetime distributions in the classic model of independent exponential component lifetimes - Tomasz Rychlik -- 5. On the exact statistical distribution of econometric estimators and test statistics - Yong Bao, Xiaotian Liu, Aman Ullah -- 6. On conditional tail inferences from multivariate distributions - Harry Joe -- 7. A bivariate distribution with generalized exponential conditionals: Theory and applications - Miroslav Ristic, Bozidar V. Popovic, Indranil Ghosh -- 8. Assessment of distributional goodness-of-fit for modeling the superposition of renewal process data - Wei Zhang, William Q. Meeker.-9. Skew-Elliptical Thomas point processes - Ngoc Anh Dao, Marc G. Genton -- 10. Bayesian model assessment and selection using Bregman divergence - Gyuhyeong Goh, Dipak K. Dey -- 11. On hidden truncation in non-normal models - Indranil Ghosh, Hon Keung Tony Ng.
Record Nr. UNINA-9910483453003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Analysis of Demand Under Block Rate Pricing / / by Koji Miyawaki
Bayesian Analysis of Demand Under Block Rate Pricing / / by Koji Miyawaki
Autore Miyawaki Koji
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (120 pages)
Disciplina 519.542
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Financial engineering
Economic development
Statistics in Business, Management, Economics, Finance, Insurance
Statistical Theory and Methods
Bayesian Inference
Financial Engineering
Economic Development, Innovation and Growth
ISBN 981-15-1857-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Demand under Increasing Block Rate Pricing -- 3. Demand under Decreasing Block Rate Pricing -- 4. Extensions to Panel Data -- 5. Extensions to Areal Data -- 6. Block Normal Simulator.
Record Nr. UNINA-9910364956303321
Miyawaki Koji  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Claims Reserving Methods in Non-life Insurance with Stan [[electronic resource] ] : An Introduction / / by Guangyuan Gao
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
Economics
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
Opac: Controlla la disponibilità qui
Bayesian Compendium / / by Marcel van Oijen
Bayesian Compendium / / by Marcel van Oijen
Autore Oijen Marcel van
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 204 p. 60 illus., 23 illus. in color.)
Disciplina 519.542
Soggetto topico Statistics
Biometry
Ecology
Environmental monitoring
Analytical chemistry
Bayesian Inference
Biostatistics
Statistical Theory and Methods
Environmental Monitoring
Analytical Chemistry
ISBN 9783030558970
3030558975
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- 1 Introduction to Bayesian thinking -- 2 Introduction to Bayesian science -- 3 Assigning a prior distribution -- 4 Assigning a likelihood function -- 5 Deriving the posterior distribution -- 6 Sampling from any distribution by MCMC -- 7 Sampling from the posterior distribution by MCMC -- 8 Twelve ways to fit a straight line -- 9 MCMC and complex models -- 10 Bayesian calibration and MCMC: Frequently asked questions -- 11 After the calibration: Interpretation, reporting, visualization -- 2 Model ensembles: BMC and BMA -- 13 Discrepancy -- 14 Gaussian Processes and model emulation -- 15 Graphical Modelling (GM) -- 16 Bayesian Hierarchical Modelling (BHM) -- 17 Probabilistic risk analysis and Bayesian decision theory -- 18 Approximations to Bayes -- 19 Linear modelling: LM, GLM, GAM and mixed models -- 20 Machine learning -- 21 Time series and data assimilation -- 22 Spatial modelling and scaling error -- 23 Spatio-temporal modelling and adaptive sampling -- 24 What next? -- Appendix 1: Notation and abbreviations -- Appendix 2: Mathematics for modellers -- Appendix 3: Probability theory for modellers -- Appendix 4: R -- Appendix 5: Bayesian software.
Record Nr. UNINA-9910484110903321
Oijen Marcel van  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Compendium / / by Marcel van Oijen
Bayesian Compendium / / by Marcel van Oijen
Autore van Oijen Marcel
Edizione [2nd ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (261 pages)
Disciplina 519.542
Soggetto topico Statistics
Biometry
Ecology
Environmental monitoring
Statistical Theory and Methods
Bayesian Inference
Biostatistics
Environmental Monitoring
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 9783031660856
3031660854
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto - 1. Science and Uncertainty -- 2. Bayesian Inference -- 3. Assigning a Prior Distribution -- 4. Assigning a Likelihood Function -- 5. Deriving the Posterior Distribution -- 6. Markov Chain Monte Carlo Sampling (MCMC) -- 7. Sampling from the Posterior Distribution by MCMC -- 8. MCMC and Multivariate Models -- 9. Bayesian Calibration and MCMC: Frequently Asked Questions -- 10. After the Calibration: Interpretation, Reporting, Visualisation -- 11. Model Ensembles: BMC and BMA -- 12. Discrepancy -- 13. Approximations to Bayes -- 14.Thirteen Ways to Fit a Straight Line -- 15. Gaussian Processes and Model Emulation -- 16. Graphical Modelling -- 17. Bayesian Hierarchical Modelling -- 18. Probabilistic Risk Analysis -- 19. Bayesian Decision Theory -- 20. Linear Modelling: LM, GLM, GAM and Mixed Models -- 21. Machine Learning -- 22. Time Series and Data Assimilation -- 23. Spatial Modelling and Scaling Error -- 24. Spatio-Temporal Modelling and Adaptive Sampling -- 25. What Next?.
Record Nr. UNINA-9910886093703321
van Oijen Marcel  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui