Modeling and Data Analysis
An Introduction with Environmental Applications
Seiten
2019
American Mathematical Society (Verlag)
978-1-4704-4869-1 (ISBN)
American Mathematical Society (Verlag)
978-1-4704-4869-1 (ISBN)
Mathematical models - equations of various sorts capturing relationships between variables involved in a complex situation - are fundamental for understanding the potential consequences of choices we make. This book on elementary topics in mathematical modeling and data analysis has a specific focus on environmental applications.
Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models--equations of various sorts capturing relationships between variables involved in a complex situation--are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning.
This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate ``liberal arts mathematics''-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the ${/tt R}$ statistical package.
Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models--equations of various sorts capturing relationships between variables involved in a complex situation--are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning.
This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate ``liberal arts mathematics''-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the ${/tt R}$ statistical package.
John B. Little, College of the Holy Cross, Worcester, MA.
Basic quantitative concepts: Scales of measurement
Ratios, percents, proportions
Part I summary project
Elementary modeling: Linear functions as models
Exponential functions as models
Power functions as models
Discrete time dynamic modeling and difference equations
Modeling with systems of difference equations
Data analysis and statistics: Descriptive statistics
Probability distributions and random variables
Statistics of sampling
Hypothesis testing and statistical inference
Index
| Erscheinungsdatum | 02.05.2019 |
|---|---|
| Verlagsort | Providence |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 775 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| ISBN-10 | 1-4704-4869-6 / 1470448696 |
| ISBN-13 | 978-1-4704-4869-1 / 9781470448691 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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