Probability & Statistics

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Statistics Using Stata: An Integrative Approach
Cambridge University Press (2016)

Engaging and accessible, this comprehensive introduction to statistics integrates Stata commands...

Introductory Econometrics for Finance
Cambridge University Press (2019)

Offers econometrics for finance students with no prior knowledge of the field. Includes case...

Model-Based Clustering and Classification for Data Science: With Applications in R
Cambridge University Press (2019)

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as...

Computational Bayesian Statistics: An Introduction
Cambridge University Press (2019)

This integrated introduction to fundamentals, computation, and software is your key to understanding...

Design and Analysis of Experiments with R
CRC Press (2014)

Design and Analysis of Experiments with R presents a unified treatment of experimental designs and...

Bayesian Networks: With Examples in R

Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained ...

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Data-Driven Science and Engineering

Machine Learning, Dynamical Systems, and Control

Cambridge University Press (2019)

This beginning graduate textbook teaches data science and machine learning methods for modeling,...

Financial Econometrics: Models and Methods
Cambridge University Press (2019)

Presents an up-to-date treatment of the models and methodologies of financial econometrics by one of...

Freakonomics Rev Ed: (and Other Riddles of Modern Life)

Freakonomics Rev Ed

(and Other Riddles of Modern Life)

HarperCollins (2010)

Which is more dangerous, a gun or a swimming pool? What do schoolteachers and sumo wrestlers have in...

Negative Binomial Regression
Cambridge University Press (2011)

A substantial enhancement of the only text devoted entirely to the negative binomial model and its...