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This second edition focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout. It is useful both as... Læs mere
With a clear step-by-step approach explained using real world examples, this book provides the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience.
With a clear step-by-step approach explained using real world examples, this book provides the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience.
This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly.
It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the... Læs mere
An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
The subject of Discrete Signals and Systems is broad and deserves a single book devoted to it. The objective of this textbook is to present all the required material that an undergraduate student will need to master this subject matter and the use of MATLAB.
This book aims to address the calculus of several variables. Instead of just using Mathematica to directly solve problems, the students are encouraged to learn the syntax and to write their own code to solve problems.
With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered COVID-19.