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UNIX System Administration: A Beginner's GuideEssential Skills Made Easy!
Learn the fundamentals of UNIX administration--from both a network and single system perspective--using this easy-to-follow introductory guide. You'll find clear instructions for setting up such important system services sas DNS, FTP, file systems, basic security tools, and much more. Designed for easy... | | Introductory BiostatisticsThe nuts-and-bolts of biostatistics–without the anxiety
To students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. This text, adapted from and expanding on his bestselling Health and Numbers (Wiley), will... | | Securing Linux: A Survival Guide for Linux SecurityIncrease the security of your Linux system with this handy, definitive guide. It presents the latest and best practices for securing a Linux system on both workstations and many server setups.
As the Linux operating system has matured and grown in popularity, security risks have increased. SANS is pleased to announce publication of... |
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Learn RStudio IDE: Quick, Effective, and Productive Data Science
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and ... | | Static Analysis: 19th International Symposium, SAS 2012, Deauville, France, September 11-13, 2012. Proceedings (Lecture Notes in Computer Science)
This book constitutes the thoroughly refereed proceedings of the 19th International Symposium on Static Analysis, SAS 2012, held in Deauville, France, in September 2012. The 25 revised full papers presented together with 4 invited talks were selected from 62 submissions. The papers address all aspects of static analysis, including abstract... | | Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable ... |
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