{"product_id":"exploring-modeling-with-data-and-differential-equations-using-r-9781032259482","title":"Exploring Modeling with Data and Differential Equations Using R","description":"\u003cp\u003e • Author(s): John Zobitz\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eExploring Modeling with Data and Differential Equations Using R\u003c\/i\u003e provides a unique introduction to differential equations with applications to the biological and other natural sciences. Additionally, model parameterization and simulation of stochastic differential equations are explored, providing additional tools for model analysis and evaluation. This unified framework sits \"at the intersection\" of different mathematical subject areas, data science, statistics, and the natural sciences. The text throughout emphasizes data science workflows using the R statistical software program and the tidyverse constellation of packages. Only knowledge of calculus is needed; the text's integrated framework is a stepping stone for further advanced study in mathematics or as a comprehensive introduction to modeling for quantitative natural scientists.\u003c\/p\u003e\u003cp\u003eThe text will introduce you to: \u003c\/p\u003e\u003cul\u003e \u003cli\u003emodeling with systems of differential equations and developing analytical, computational, and visual solution techniques.\u003c\/li\u003e \u003cli\u003ethe R programming language, the tidyverse syntax, and developing data science workflows.\u003c\/li\u003e \u003cli\u003equalitative techniques to analyze a system of differential equations.\u003c\/li\u003e \u003cli\u003edata assimilation techniques (simple linear regression, likelihood or cost functions, and Markov Chain, Monte Carlo Parameter Estimation) to parameterize models from data.\u003c\/li\u003e \u003cli\u003esimulating and evaluating outputs for stochastic differential equation models.\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eAn associated R package provides a framework for computation and visualization of results. It can be found here: https: \/\/cran.r-project.org\/web\/packages\/demodelr\/index.html. \u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45242130006167,"sku":"9781032259482","price":7290.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032259482.webp?v=1769231052","url":"https:\/\/atlanticbooks.com\/products\/exploring-modeling-with-data-and-differential-equations-using-r-9781032259482","provider":"Atlantic Books","version":"1.0","type":"link"}