Author: | Yogendra P Chaubey | ISBN: | 9789814417990 |
Publisher: | World Scientific Publishing Company | Publication: | March 14, 2013 |
Imprint: | WSPC | Language: | English |
Author: | Yogendra P Chaubey |
ISBN: | 9789814417990 |
Publisher: | World Scientific Publishing Company |
Publication: | March 14, 2013 |
Imprint: | WSPC |
Language: | English |
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.
Contents:
Readership: Graduate researchers and students in statistics.
Key Features:
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.
Contents:
Readership: Graduate researchers and students in statistics.
Key Features: