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All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field.
Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians.
Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.
Why are some problems easy to solve, while others seem nearly impossible? What can we compute with a given amount of time or memory, and what cannot be computed at all? How... Læs mere
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master.
Vim is a fast and efficient text editor that will make you a faster and more efficient developer. It's available on almost every OS, and if you master the techniques in this book, you'll never need another text editor.
This text provides solutions to the most labour and time intensive part of data warehouse development.
Features step-by-step screen shots illustrating numerous Word 2019 tasks, including managing documents, editing text, formatting pages, adding tables and graphics, and saving documents to the cloud.