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Introduction to Probability with R
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沒有庫存
訂購需時10-14天
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9781420065213 | |
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Kenneth P Baclawski
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Chapman and Hall | |
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2008年1月24日
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382.00 元
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HK$ 362.9
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Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R.
This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers.
此叢書 Chapman & Hall/CRC Texts in Statistical Science Se 書目
An Introduction to Statistical Inference and its Applications with R
Introduction to Probability with R
Derrida"s Legacies: Literature and Philosophy
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models
Linear Models with R
Personality Topics in Honor of Jerry S. Wiggins: A Special Issue of Multivariate Behavioral Research
Supporting Children"s Learning in the Early Years
Understanding Children"s Learning: A Text for Teaching Assistants
Assessing Children"s Learning, Second Edition
The Caspian Region, Volume 1: A Re-Emerging Region
The Caspian Region, Volume 2: The Caucasus
Survival Analysis Using S: Analysis of Time-to-Event Data
Hitler"s Women
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