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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.
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.
Robotic Process Automation will continue its exponential growth over the next five years. This book brings a new focus on RPA's strategic potential:... Læs mere
From bestselling author Andy Field comes the version for SAS users with all the features (and wit) of the original.
The book will guide you through the research process offering further reading where more complex decisions need to be made and giving 'real world' examples from a wide range of disciplines and anecdotes that clarify issues for readers.
Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to... Læs mere