Mathematical and Statistical Applications in Life Sciences and Engineering

Nonfiction, Science & Nature, Mathematics, Applied, Statistics
Cover of the book Mathematical and Statistical Applications in Life Sciences and Engineering by , Springer Singapore
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Author: ISBN: 9789811053702
Publisher: Springer Singapore Publication: December 6, 2017
Imprint: Springer Language: English
Author:
ISBN: 9789811053702
Publisher: Springer Singapore
Publication: December 6, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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