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Links 1 through 10 of 21 by Ken Robson tagged statistics

Quasi-Monte Carlo simulation is the traditional Monte Carlo simulation but using quasi-random sequences instead (pseudo) random numbers. These sequences are used to generate representative samples from the probability distributions that we are simulating in our practical problem.
The quasi-random sequences, also called low-discrepancy sequences, in several cases permit to improve the performance of Monte Carlo simulations, offering shorter computational times and/or higher accuracy.

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This package provides R interfaces to a handful of common statistical algorithms. These algorithms are implemented in parallel using a mixture of nVidia's CUDA langauge and CUBLAS library. On a computer equiped with an nVidia GPU some of these functions may be substantially more efficient than native R routines.

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Huge processing times limit bioinformatics analyzes that are developed in the statistical language R. Therefore we develop a user friendly package, “RGPU”, which uses the video card to speedup bioinformatics analyzes with R by a factor larger than 50.

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Simtools.xla and Formlist.xla are add-ins for Microsoft Excel (version 5 and later). Simtools adds statistical functions and procedures for doing Monte Carlo simulation and risk analysis in spreadsheets. Formlist is a simple auditing tool that adds procedures for displaying the formulas of any selected range. Also available here is Torndiag.xls, an Excel workbook for making "tornado" sensitivity-analysis diagrams. Simtools and Formlist were developed to facilitate applications of probability and statistics, and to help managers do complex decision analysis. These programs are distributed as freeware for individual use, and may be freely redistributed to students and faculty in an academic institution. All other rights are reserved.

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Paper on the use of time series analysis with regularly sampled systems stats.

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An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning. These enable a computer program to automatically analyse a large body of data and decide what information is most rel

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ALGORITHMS sound scary, of interest only to dome-headed mathematicians. In fact they have become the instruction manuals for a host of routine consumer transactions. Browse for a book on Amazon.com and algorithms generate recommendations for other titles

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GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are

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In the following topics, we will review techniques that are useful for analyzing time series data, that is, sequences of measurements that follow non-random orders. Unlike the analyses of random samples of observations that are discussed in the context of

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