{"product_id":"9789814417990","title":"Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada\/imst 2011-fim Xx","description":"\u003cp\u003eThis 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 \u0026amp; 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.\u003c\/p\u003e\u003cp\u003eThe topics have been reviewed by experts in the field and the selected papers are expected to provide a topical resource on the subjects concerned.\u003c\/p\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003ePreface\u003c\/li\u003e\n\u003cli\u003eHypothesis Assessment Using the Bayes Factor and Relative Belief Ratio \u003ci\u003e(Z Baskurt and M Evans)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAn Analysis of 1990-2011 Ontario Surface Air Temperatures \u003ci\u003e(D R Brillinger)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Markov Chain Monte Carlo Sampler for Gene Genealogies Conditional on Haplotype Data \u003ci\u003e(K M Burkett, B McNeney and J Graham)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eJackknifing Stochastic Restricted Ridge Estimator with Heteroscedastic Errors \u003ci\u003e(Y P Chaubey, M Khurana and S Chandra)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eMolecular Classification of Acute Leukemia \u003ci\u003e(G Chen and J Wu)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Note on a Nonparametric Trend Test and Its Competitors \u003ci\u003e(K Deka and B Gogoi)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eLocal Search for Identifying Communities in Large Random Graphs \u003ci\u003e(N Deo and M Vasudevan)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eData Mining Approaches to Multivariate Biomarker Discovery \u003ci\u003e(D M Dziuda)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eOn Sequential Change-Point Detection Strategies \u003ci\u003e(E Gombay)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eMulti-Item Two-Stage EOQ Model Incorporating Quantity and Freight Discounts \u003ci\u003e(D Gupta, K Gandhi, S Makkar and P C Jha)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAn Improved Bound on Average Codeword Length of Variable Length Error Correcting Codes \u003ci\u003e(R Gupta and B Sharma)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eTrimmed Analysis of Variance: A Robust Modification of ANOVA \u003ci\u003e(G S Mudholkar, D K Srivastava, C E Marchetti and A G Mudholkar)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eBayesian Predictive Inference under Sequential Sampling with Selection Bias \u003ci\u003e(B Nandram and D Kim)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eTests For and Against Uniform Stochastic Ordering on Multinomial Parameters Based on Φ-Divergences \u003ci\u003e(J Peng)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eDevelopment and Management of National Health Plans: Health Economics and Statistical Perspectives \u003ci\u003e(P K Sen)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Unified Approach between Population-Averaged and Cluster-Specific Analyses for Multilevel Zero-Inflated Count Data \u003ci\u003e(G Sneddon, M T Hasan and R Ma)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eMeta-Analysis of Binary Outcomes Data in Clinical Trials \u003ci\u003e(P Subbaiah, A Mallick and T K Desai)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eRisk Reduction of the Supply Chain through Pooling Losses in Case of Bankruptcy of Suppliers Using the Black-Scholes-Merton Pricing Model \u003ci\u003e(R Valvarde and M Talla)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eRandom Effects Modelling of Non-Gaussian Time Series Responses with Covariates \u003ci\u003e(G Yan, M T Hasan and R Ma)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eReadership:\u003c\/b\u003e Graduate researchers and students in statistics.\u003cbr\u003e","brand":"World Scientific Publishing Company, Incorporated","offers":[{"title":"Default Title","offer_id":47140001743088,"sku":"9789814417990","price":51.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9789814417990_p0.jpg?v=1763691356","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9789814417990","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}