Søgning på underkategorier- og emner:
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space.
Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before.
"An Introduction to SAGE Programming: With Applications to SAGE Interacts for Numerical Methods emphasizes... Læs mere
The book focuses on good programming and coding practice for producing data sets for later analyses, using simulation studies to explore statistical concepts and employing... Læs mere
This primer provides an introduction to MATLAB® version 8 for statistics. It covers capabilities in the Statistics Toolbox. The student version presents discusses how... Læs mere
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects.