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Mathematical and Statistical Applications in Life Sciences and Engineering / edited by Avishek Adhikari, Mahima Ranjan Adhikari, Yogendra Prasad Chaubey.

Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online

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Format:
Book
Contributor:
Adhikari, Avishek., Editor.
Adhikari, Mahima Ranjan., Editor.
Chaubey, Yogendra Prasad., Editor.
Language:
English
Subjects (All):
Applied mathematics.
Engineering mathematics.
Statistics.
Applications of Mathematics.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Life Sciences, Medicine, Health Sciences.
Local Subjects:
Applications of Mathematics.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Life Sciences, Medicine, Health Sciences.
Physical Description:
1 online resource (XIV, 372 p. 87 illus.)
Edition:
1st ed. 2017.
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2017.
Summary:
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.
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.
Notes:
Includes bibliographical references.
ISBN:
981-10-5370-7

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