Monte-Carlo Simulation-Based Statistical Modeling (Record no. 427410)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04404nam a22005175i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOKNUMBER | |
| International Standard Book Number | 9789811033070 |
| -- | 978-981-10-3307-0 |
| 024 7# - | |
| -- | 10.1007/978-981-10-3307-0 |
| -- | doi |
| 040 ## - | |
| -- | ISI Library, Kolkata |
| 050 #4 - | |
| -- | QA276-280 |
| 072 #7 - | |
| -- | PBT |
| -- | bicssc |
| 072 #7 - | |
| -- | MED090000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | PBT |
| -- | thema |
| 072 #7 - | |
| -- | MBNS |
| -- | thema |
| 082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Monte-Carlo Simulation-Based Statistical Modeling |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | edited by Ding-Geng (Din) Chen, John Dean Chen. |
| 942 ## - ADDED ENTRY ELEMENTS(KOHA) | |
| Koha item type | E-BOOKS |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Singapore : |
| Name of producer, publisher, distributor, manufacturer | Springer Singapore : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture | 2017. |
| 300 ## - | |
| -- | XX, 430 p. 64 illus., 33 illus. in color. |
| -- | online resource. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - | |
| -- | ICSA Book Series in Statistics, |
| -- | 2199-0980 |
| 505 0# - | |
| -- | Part 1: Monte-Carlo Techniques -- 1. Overview of Monte-Carlo Techniques -- 2. On Improving the Efficiency of the Monte-Carlo Methods Using Ranked Simulated Approach -- 3. Joint generation of Different Types of Data with Specified Marginal and Association Structures for Simulation Purposes -- 4. Quantifying the Uncertainty in Optimal Experimental Schemes via Monte-Carlo Simulations -- 5. Normal and Non-normal Data Simulations for the Evaluation of Two-sample Location Tests -- 6. Understanding dichotomization from Monte-Carlo Simulations -- Part 2: Monte-Carlo Methods in Missing Data -- 7. Hybrid Monte-Carlo in Multiple Missing Data Imputations with Application to a Bone Fracture Data -- 8. Methods for Handling Incomplete Longitudinal Data due to Missing at Random Dropout -- 9. Applications of Simulation for Missing Data Issues in Longitudinal Clinical Trials -- 10. Application of Markov Chain Monte Carlo Multiple Imputation Method to Deal with Missing Data From the Mechanism of MNAR in Sensitivity Analysis for a Longitudinal Clinical Trial -- 11. Fully Bayesian Methods for Missing Data under Ignitability Assumption -- Part 3: Monte-Carlo in Statistical Modellings -- 12. Markov-Chain Monte-Carlo Methods in Statistical modelling -- 13. Monte-Carlo Simulation in Modeling for Hierarchical Linear Mixed Models -- 14. Monte-Carlo Simulation of Correlated Binary Responses -- 15. Monte Carlo Methods in Financial Modeling -- 16. Bayesian Intensive Computations in Elliptical Models. . |
| 520 ## - | |
| -- | This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction. |
| 650 #0 - | |
| -- | Statistics. |
| 650 #0 - | |
| -- | Statistical methods. |
| 650 14 - | |
| -- | Statistics for Life Sciences, Medicine, Health Sciences. |
| -- | http://scigraph.springernature.com/things/product-market-codes/S17030 |
| 650 24 - | |
| -- | Biostatistics. |
| -- | http://scigraph.springernature.com/things/product-market-codes/L15020 |
| 700 1# - | |
| -- | Chen, Ding-Geng (Din). |
| -- | editor. |
| -- | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - | |
| -- | Chen, John Dean. |
| -- | editor. |
| -- | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - | |
| -- | SpringerLink (Online service) |
| 773 0# - | |
| -- | Springer eBooks |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9789811033063 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9789811033087 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9789811098390 |
| 830 #0 - | |
| -- | ICSA Book Series in Statistics, |
| -- | 2199-0980 |
| 856 40 - | |
| -- | https://doi.org/10.1007/978-981-10-3307-0 |
| 912 ## - | |
| -- | ZDB-2-SMA |
| 950 ## - | |
| -- | Mathematics and Statistics (Springer-11649) |
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