 |
|
|
|
Modern Statistical Methods for Astronomy: With R Applications
Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to... | | Data Mining and Business Analytics with R
Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are... | | Simplifying JavaScript: Writing Modern JavaScript with ES5, ES6, and Beyond
The best modern JavaScript is simple, readable, and predictable. Learn to write modern JavaScript not by memorizing a list of new syntax, but with practical examples of how syntax changes can make code more expressive. Starting from variable declarations that communicate intention clearly, see how modern principles can improve all... |
|
|
| | Variable-length Codes for Data CompressionMost data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties - such as those containing certain bit patterns, or those that are robust - and these can be useful. This book brings this large set of codes to the attention of... | | Quantum Cryptography and Secret-Key Distillation
This book aims at giving an introduction to the principles and techniques
of quantum cryptography, including secret-key distillation, as well as some
more advanced topics. As quantum cryptography is now becoming a practical
reality with products available commercially, it is important to focus not
only on the theory of quantum... |
|
| | Regression Analysis: Statistical Modeling of a Response Variable
The objective of Regression Analysis: Statistical Modeling of a Response
Variable, Second Edition, is to provide tools necessary for using the modeling
approach for the intelligent statistical analysis of a response variable.
Although there is strong emphasis on regression analysis, there is coverage
of other linear models such... | | |
|
|
| Result Page: 18 17 16 15 14 13 12 11 10 9 |
