Mathematical and Statistical Applications in Life Sciences and Engineering
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....
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Other Authors: | , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2017.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.