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Mathematical and Statistical Applications in Life Sciences and Engineering. 1st ed. 2017

種類:
電子ブック
責任表示:
edited by Avishek Adhikari, Mahima Ranjan Adhikari, Yogendra Prasad Chaubey
出版情報:
Singapore : Springer Nature Singapore : Imprint: Springer, 2017
著者名:
ISBN:
9789811053702 [9811053707]  CiNii Books  Calil
注記:
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 In
The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications. It presents state-of-the-art material along with a clear and detailed review of the relevant topics and issues concerned. The topics discussed include message transmission, colouring problem, control of stochastic structures and information dynamics, image denoising, life testing and reliability, survival and frailty models, analysis of drought periods, prediction of genomic profiles, competing risks, environmental applications and chronic disease control. It is a valuable resource for researchers and practitioners in the relevant areas of mathematics and statistics.
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