Population Dynamics And Projection Methods

Population Dynamics and Projection Methods  eBooks & eLearning

Posted by insetes at Dec. 9, 2023
Population Dynamics and Projection Methods

Population Dynamics and Projection Methods By Philip Rees (auth.), John Stillwell, Martin Clarke (eds.)
2011 | 228 Pages | ISBN: 9048189292 | PDF | 6 MB
Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model By Stephen P. Ellner
English | PDF | 2016 | 329 Pages | ISBN : 3319288911 | 7.3 MB

This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations.
Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model By Stephen P. Ellner
English | EPUB | 2016 | 329 Pages | ISBN : 3319288911 | 4.13 MB

This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations.
Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model By Stephen P. Ellner
English | EPUB | 2016 | 329 Pages | ISBN : 3319288911 | 4.13 MB

This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations.

Healthcare Service Management: A Data-Driven Systems Approach  eBooks & eLearning

Posted by nebulae at May 8, 2019
Healthcare Service Management: A Data-Driven Systems Approach

Li Tao, "Healthcare Service Management: A Data-Driven Systems Approach "
English | ISBN: 3030153835 | 2019 | 168 pages | EPUB, PDF | 20 MB + 6 MB

Healthcare Service Management: A Data-Driven Systems Approach (Repost)  eBooks & eLearning

Posted by AvaxGenius at Jan. 13, 2020
Healthcare Service Management: A Data-Driven Systems Approach (Repost)

Healthcare Service Management: A Data-Driven Systems Approach by Li Tao
English | PDF,EPUB | 2019 | 183 Pages | ISBN : 3030153835 | 26.5 MB

Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.

Healthcare Service Management: A Data-Driven Systems Approach (Repost)  eBooks & eLearning

Posted by AvaxGenius at Feb. 7, 2020
Healthcare Service Management: A Data-Driven Systems Approach (Repost)

Healthcare Service Management: A Data-Driven Systems Approach by Li Tao
English | PDF,EPUB | 2019 | 183 Pages | ISBN : 3030153835 | 26.5 MB

Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals.