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Author Chaubey, Yogendra P
Title Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx : Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX
Imprint Singapore : World Scientific Publishing Company, 2013
©2013
book jacket
Descript 1 online resource (276 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Intro -- CONTENTS -- (1) Preface -- (2) Hypothesis Assessment Using the Bayes Factor and Relative Belief Ratio Z. Baskurt and M. Evans -- 1. Introduction -- 2. General Definition -- 3. The Method of Concentration -- 4. Calibration -- 5. Conclusions -- References -- (3) An Analysis of 1990-2011 Ontario Surface Air Temperatures D. R. Brillinger -- 1. Introduction -- 2. The Data -- 3. Models and Preliminary Analyses -- 4. Results -- 5. Model Assessment -- 6. Discussion/Conclusions -- Acknowledgments -- References -- (4) A Markov Chain Monte Carlo Sampler for Gene Genealogies Conditional on Haplotype Data K. M. Burkett, B. McNeney and J. Graham -- 1. Introduction -- 2. Notation -- 3. Overview of The ZP Algorithm -- 3.1. A distribution for ( x,T) conditional on haplotypes H -- 3.2. Overview of the proposal distributions used in the ZP algorithm -- 4. Description of Our Genealogy Sampler -- 4.1. The target distribution: f(A ) -- 4.2. Proposal distributions for ti, ri and si -- 4.3. Update schemes for our sampler -- 4.4. Software and application -- 5. Discussion -- Acknowledgments -- References -- (5) Jackknifing Stochastic Restricted Ridge Estimator with Heteroscedastic Errors Y. P. Chaubey, M. Khurana and S. Chandra -- 1. Introduction -- 2. Jackknifed SRR Estimator -- 3. Comparison between SRR and Jackknifed SRR Estimators -- 4. Numerical Illustration -- 5. A Simulation Study -- 6. Concluding Remarks -- Acknowledgments -- References -- (6) Molecular Classification of Acute Leukemia G. Chen and J. Wu -- 1. Introduction -- 2. Data Description -- 3. Methodology -- 3.1. A two-sample semiparametric model -- 3.2. Maximum likelihood estimation -- 3.3. Minimum Hellinger distance estimation -- 4. Marker Gene Selection -- 5. Classification -- 5.1. Classification rule -- 5.2. Classification results and discussion -- 6. Further Discussion -- References
(7) A Note on a Nonparametric Trend Test and its Competitors K. Deka and B. Gogoi -- 1. Introduction -- 2. Model and the Tests -- 2.1. Parametric tests -- 2.2. Nonparametric tests -- 3. A Simulation Study -- 4. Results and Discussion -- 4.1. Comparison of level of the tests -- 4.2. Comparison of the power of the tests -- 5. Conclusions -- References -- (8) Local Search for Identifying Communities in Large Random Graphs N. Deo and M. Vasudevan -- 1. Introduction -- 2. Defining a Community -- 3. Community Detection Algorithms -- 4. Proposed Community Identification Algorithm -- 5. Experimental Results -- 5.1 Synthetic graphs -- 5.2 Real-world networks -- 6. Conclusion -- Acknowledgement -- References -- (9) Data Mining Approaches to Multivariate Biomarker Discovery D. M. Dziuda -- 1. Introduction -- 2. The Informative Set of Genes -- 3. The Modified Bagging Schema -- 4. Identification of Multivariate Biomarkers that are Robust and Biologically Interpretable -- 5. A Case Study -- 6. Conclusions -- References -- (10) On Sequential Change-Point Detection Strategies E. Gombay -- 1. Introduction -- 2. An Open Ended Strategy -- 3. Truncated Procedures -- 4. Theoretical Comparisons -- 5. Empirical Comparisons -- 6. Conclusions -- Appendix: Asymptotic Properties -- Acknowledgements -- References -- (11) Multi-Item Two-Stage EOQ Model Incorporating Quantity and Freight Discounts D. Gupta, K. Gandhi, S. Makkar and P. C. Jha -- 1. Introduction -- 2. Model's Assumptions, Sets, and Symbols -- 2.1. Assumptions -- 2.2. Sets -- 2.3. Parameters -- 2.4. Decision Variables -- 3. Problem Formulation -- 3.1. Mathematical Model Formulation -- 3.2. Analysis of Model Formulation -- 3.3. Solution -- 4. Conclusions -- Appendix A: Data Set -- Appendix B: Solution -- References
(12) An Improved Bound on Average Codeword Length of Variable Length Error Correcting Codes R. Gupta and B. Sharma -- 1. Introduction -- 2. Preliminaries and Earlier Results -- 3. An Improved Bound on Average Codeword Length -- 3.1. Examples -- 4. Conclusion -- Appendix A. The Range of s2 for Example 1 -- Appendix B. The Range of s2 for Example 2 -- References -- (13) Trimmed Analysis Of Variance: A Robust Modification of ANOVA G. S. Mudholkar, D. K. Srivastava, C. E. Marchetti and A. G. Mudholkar -- 1. Introduction -- 2. Trimmed-Means ANOVA -- 2.1. The Robust F -statistic: Construction -- 3. Operating Characteristics -- 4. Conclusions -- Acknowledgments -- References -- (14) Bayesian Predictive Inference under Sequential Sampling with Selection Bias B. Nandram and D. Kim -- 1. Introduction -- 2. Ignorable and Nonignorable Selection Models -- 3. Bayesian Computations -- 4. An Illustrative Example on Cystic Fibrosis -- 5. Concluding Remarks -- Acknowledgments -- APPENDIX A -- APPENDIX B -- References -- (15) Tests For and Against Uniform Stochastic Ordering on Multinomial Parameters Based on -Divergences J. Peng -- 1. Introduction -- 2. Maximum Likelihood Estimator P of P under P U Q -- 3. Test Statistics Based on -Divergence -- 4. An Example -- Acknowledgments -- References -- (16) Development and Management of National Health Plans: Health Economics and Statistical Perspectives P. K. Sen -- 1. Introduction -- 2. An Inventory of Points to Ponder -- 3. Whither Statistics? -- 4. BPL, AAL, MIC and Nested Inequalities -- 5. Clinical and Environmental Perspectives -- 6. Statistics: Perspectives and Task Ahead -- 7. Integrating Measures of Socio-economic Features -- Acknowledgments -- References -- (17) A Unified Approach between Population-Averaged and Cluster-Specific Analyses for Multilevel Zero-Inflated Count Data G. Sneddon, M. T. Hasan and R. Ma
1. Introduction -- 2. Zero-Inflated Poisson Mixed Model for Multilevel Longitudinal Data -- 2.1. The Model -- 2.2. Mean and Covariance structure -- 3. Parameter Estimation -- 3.1. Estimation of regression parameters -- 3.2. Estimation of random effects parameters -- 4. Application -- 5. Discussion -- Acknowledgments -- References -- (18) Meta-Analysis of Binary Outcomes Data in Clinical Trials P. Subbaiah, A. Mallick and T. K. Desai -- 1. Introduction -- 2. Confidence Intervals for the Proportion of Interest -- 3. Meta Analysis of Binary Outcome Data -- 4. Example to Study the Success Rate of Antifungal Onychomycosis Lacquers -- 5. Example to Study the Incidence of Esophageal Adenocarcinoma (EAC) in Non-dysplastic Barrett's Esophagus (NDBE) -- 6. Modification of the Methods for Comparative Studies -- References -- (19) Risk Reduction of the Supply Chain through Pooling Losses in Case of Bankruptcy of Suppliers Using the Black-Scholes-Merton Pricing Model R. Valvarde and M. Talla -- 1. Introduction -- 2. Black-Scholes-Merton Option Pricing Model -- 3. Risk Reduction through Pooling Independent Losses -- 4. Illustration of the Methods on Real Data -- 5. Conclusions and Future Research -- References -- (20) Random Effects Modelling of Non-Gaussian Time Series Responses with Covariates G. Yan, M. T. Hasan and R. Ma -- 1. Introduction -- 2. Mixed Model for Non-Gaussian Time Series Responses -- 2.1. The model -- 2.2. Moment structure -- 3. Best Linear Unbiased Predictors of Random Effects -- 4. Estimation of Parameters -- 4.1. Estimation of regression parameters -- 4.2. Estimation of random effects parameters -- 4.3. Estimation of correlation parameter -- 5. Application -- 5.1. Daily counts of emergency room visit data -- 5.2. Los Angeles air pollution data -- 6. Discussion -- Ackowledgements -- References
This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, "Interdisciplinary Mathematical & Statistical Techniques". These papers cover a wide range of topics from applications of Mathematics and Statistics such as Selection Bias in Surveys, Biomarker Discovery, Analysis of Earth Temperature, Supply Chain Management, Trimmed ANOVA, Zero-inflated Data, Non-Gaussian Time Series, and Stochastic Ordering; Classification, Nonparametric Test, and Jackknifed Ridge Estimator; Bayes Factor; Random Graphs and Error Correcting Codes; Meta Analysis; and National Health Plans and Risk Reduction through Supply Chain.The topics have been reviewed by experts in the field and the selected papers are expected to provide a topical resource on the subjects concerned
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Chaubey, Yogendra P Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx : Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX Singapore : World Scientific Publishing Company,c2013 9789814417976
Subject Stochastic processes.;Applied mathematics
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