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Applied Time Series Analysis and Forecasting with Python
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not …
An Introduction to Statistics with Python
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and …
Fundamentals of Supervised Machine Learning
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance …
Visualization and Imputation of Missing Values
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of …
Basic Elements of Computational Statistics
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and …
Basic Elements of Computational Statistics
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and …
A First Course in Statistical Learning
This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software …
Applied Statistical Learning
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory …
Independent Random Sampling Methods
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate …