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Detection and Analysis of Microorganisms by Mass Spectrometry
In the human body, there are millions of living microorganisms involved in protecting the body from invaders, helping digestion and regulating moods, but there are also harmful pathogens that cause infectious diseases. For instance, the coronavirus (COVID-19) has caused considerable loss of life since its outbreak. Comprehensive analysis and characterization of microbes is of significant importance to understand the function and role of microorganisms, and rapid detection and identification of unknown pathogens are essential in early diagnosis, treatment monitoring and personalized medicine. Mass spectrometry is a technique to ionize molecules and detect the mass-to-charge ratio of the gener...
Mathematical Methods in the Theory of Queuing
Written by a prominent Russian mathematician, this concise monograph examines aspects of queuing theory as an application of probability. Prerequisites include a familiarity with the theory of probability and mathematical analysis. Students and professionals in operations research as well as applied mathematicians will find this elegant, ground-breaking work of substantial interest. 1960 edition.
Current Catalog
First multi-year cumulation covers six years: 1965-70.
Selected Statistical Papers of Sir David Cox: Volume 2, Foundations of Statistical Inference, Theoretical Statistics, Time Series and Stochastic Processes
Sir David Cox's most important papers, each the subject of a new commentary by Professor Cox.
The Statistical Analysis of Time Series
The Wiley Classics Library consists of selected books that havebecome recognized classics in their respective fields. With thesenew unabridged and inexpensive editions, Wiley hopes to extend thelife of these important works by making them available to futuregenerations of mathematicians and scientists. Currently availablein the Series: T. W. Anderson Statistical Analysis of Time SeriesT. S. Arthanari & Yadolah Dodge Mathematical Programming inStatistics Emil Artin Geometric Algebra Norman T. J. Bailey TheElements of Stochastic Processes with Applications to the NaturalSciences George E. P. Box & George C. Tiao Bayesian Inferencein Statistical Analysis R. W. Carter Simple Groups of Lie TypeWi...
Statistical Computing with R
Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. Suitable for an introductory course in computational statistics or for self-study, it includes R code for all examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introductio...
Computational Botany
This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist’s perspective. ...
Rugged Free Energy Landscapes
This collection of lectures and tutorial reviews focuses on the common computational approaches in use to unravel the static and dynamical behaviour of complex physical systems at the interface of physics, chemistry and biology. Prominent consideration is given to rugged free-energy landscapes. The authors aim to provide a common basis and technical language for the (computational) technology transfer between the fields and systems considered.
