Mathematical and Statistical Applications in Life Sciences and Engineering -
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Résumé : Biographie: AVISHEK ADHIKARI, M.Sc. (Gold Medalist), PhD from the Indian Statistical Institute, assistant professor at the Dept of Pure Mathematics, University of Calcutta, and founder?secretary of the IMBIC, India is a recipient of the President of India Medal and Young Scientist Award. He was a post-doctoral fellow at INRIA-Rocquencourt, France and a visiting scientist at Linkoping University, Sweden. He visited, on invitation, many institutions in India, Japan, Sweden, France, England, Switzerland and South Korea. His main interests are in cryptology, combinatorics, and algebra and its applications. He has published four textbooks on mathematics including Basic Modern Algebra with Applications (Springer) and edited one research monograph. He has published numerous papers in respected international journals, conference proceedings and contributed volumes. He is on the editorial board of several journals. Sommaire:
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Collects articles on a wide spectrum of topics in mathematics and statistics and their applications Presents a wide range of topics in communication theory, image processing, reliability and life-testing, survival and frailty models, genomic profiles, disease control, and environmental predictions Is useful to aspiring researchers in areas of mathematics, statistics as well as environmental and medical sciences
?Chapter 1.?Perfectly Reliable and Secure Message Transmission.- Chapter 2.?Hole: An Emerging Character in the Story of Radio k-Coloring Problem.- Chapter 3.?Robust Control of Stochastic Structures using Minimum Norm Quadratic Partial Eigenvalue Assignment Technique.- Chapter 4. Single-time and multi-time Hamilton-Jacobi theory based on higher-order?Lagrangians.- Chapter 5.?On Wavelet Based Methods for Noise Reduction of cDNA Microarray Images.- Chapter 6.?A Transformation for the Analysis of Unimodal Hazard Rate Lifetimes Data.- Chapter 7.?The Power M-Gaussian Distribution: an R-Symmetric Analog of the Exponential-Power Distribution.- Chapter 8.?Stochastic Volatility Models (SV) in the Analysis of Drought Periods.- Chapter 9.?Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures.- Chapter 10.?Something Borrowed, Something New: Precise Prediction of Outcomes from Diverse Genomic Profiles.- Chapter 11.?Bivariate Frailty Model and Association Measure.- Chapter 12.?On Bayesian Inference of P<(Y < X) for Weibull Distribution.- Chapter 13.?Air pollution effects on clinical visits in small areas of Taiwan: a review of Bayesian spatio-temporal analyses.- Chapter 14.?On Competing Risks With Masked Failures.- Chapter 15.?Environmental applications based on Birnbaum-Saunders models.- Chapter 16.?Response-Dependent Sampling and Observation of Life History Processes.- Chapter 17.?Exact likelihood-based point and interval estimation for lifetime characteristics of Laplace distribution based on a time-constrained life-testing experiment.