Pablo Inchausti – författare
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3 produkter
3 produkter
Statistical Modeling With R
a dual frequentist and Bayesian approach for life scientists
Inbunden, Engelska, 2022
1 455 kr
Skickas inom 5-8 vardagar
To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.
Statistical Modeling With R
a dual frequentist and Bayesian approach for life scientists
Häftad, Engelska, 2022
624 kr
Skickas inom 5-8 vardagar
To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.
1 113 kr
Skickas inom 5-8 vardagar
The relationship between biodiversity and ecosystem functioning has emerged as one of the most exciting and dynamic areas in contemporary ecology. Increasing domination of ecosystems by humans is steadily transforming them into depauperate systems. How will this loss of biodiversity affect the functioning and stability of natural and managed ecosystems? This volume provides the first comprehensive and balanced coverage of recent empirical and theoretical research on this question. It reviews the evidence, provides bases for the resolution of the debate that has divided scientists on these issues, and offers perspectives on how current knowledge can be extended to other ecosystems, other organisms and other spatial and temporal scales. It cuts across the traditional division between community ecology and ecosystem ecology, and announces a new ecological synthesis in which the dynamics of biological diversity and the biogeochemical functioning of the Earth system are merged.