Fb2 Compartmental Analysis of Ecosystem Models (Statistical Ecology Ser) ePub
by J. Matis
|Category:||Science and Mathematics|
|Publisher:||Intl Cooperative Pub House (November 1, 1979)|
|Fb2 eBook:||1801 kb|
|ePub eBook:||1495 kb|
|Digital formats:||mbr mobi lrf txt|
Compartmental Analysis of Ecosystem Models. Matis JH, Wehrly TE, Gerald KB: Statistical analysis of specified, compartmental models through residence time moments and related parameters: A paper in honor of . ManuscriptGoogle Scholar.
Compartmental Analysis of Ecosystem Models. Burtonsville MD, Int Co-op Publ. 1979, pp 279–293Google Scholar.
compartmental analysis mean residence time stochastic model area .
compartmental analysis mean residence time stochastic model area under curve. InCompartmental Analysis of Ecosystem Models (J. H. Matis, B. C. Patten, and G. G. White, ed., Int. Co-op Publishing House, Burtonsville, M. 1979. 17. J. Matis and T. E. Wehrly. Biometrics 35:199 (1979). CrossRefGoogle Scholar. 18. Matis and H. O. Hartley. Biometrics 27: 77 (1971).
Author(s): Matis, James H. Patten, Bernard . Abstract: Monographic Series: Statistical ecology. Patten, Bernard C. White, Gary C. Monographic Series n. vo. 0.
A prototype compartmental model of blood pressure distribution. The system can be used for a compartmental modeling of the cardiovascular system.
An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome).
An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome), which is studied to better understand the real system.
Compartmental analysis of ecosystems models, Ed. by .
NATO Adv. Res, Workshop. Compartmental analysis of ecosystems models, Ed. White; V. 11. Environmental biomonitoring, assessment, prediction, and management – certain case studies and related quantitative issues, Ed. by J. Cairns, . Waters; V. 12. Contemporary quantitative ecology and related ecometrics, Ed.
Readers will find this book an invaluable reference on the design of experiments. It contains hard-to-find information on topics such as change-over designs with residual effects and early treatment of analysis of covariance. Other topics include linear models and quadratic forms, experiments with one or more factors, Latin square designs, and fractions of 2n factorial designs. There is also extensive coverage of the analysis of incomplete block designs and of the existence and construction of balanced and partially balanced designs.
Statistical Analysis of Genome Sequencing Data with Intel Reference Architecture. Weronika Sikora-Wohlfeld Division of Systems Medicine. Department of Pediatrics, Stanford University Stanford, CA, USA. Abhi K. Basu Intel Corporation Big Data Solutions/Data Center Group Portland, OR, USA. Atul J. Butte Division of Systems Medicine Department of Pediatrics, Stanford University. Stanford, CA, USA. Monica Martinez-Canales Intel Corporation.
Ecosystem models have applications in a wide variety of disciplines, such as natural . Compartmental models in epidemiology. Dynamic global vegetation model. Occupancy–abundance relationship. Population viability analysis.
Ecosystem models have applications in a wide variety of disciplines, such as natural resource management, ecotoxicology and environmental health, agriculture, and wildlife conservation. It has also been applied to archaeology with varying degrees of success, through attempts to combine ecological models and archaeological models to explain mobility, diversity, etc. of stone tools Compartmental models in epidemiology. Ecological forecasting.