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TCS
2010
13 years 6 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
WSC
2007
13 years 10 months ago
Statistical analysis of simulation output data: the practical state of the art
One of the most important but neglected aspects of a simulation study is the proper design and analysis of simulation experiments. In this tutorial we give a stateof-the-art prese...
Averill M. Law
IJUFKS
2006
64views more  IJUFKS 2006»
13 years 7 months ago
Cautious Analysis of Project Risks by Interval-Valued Initial Data
One of the most common performance measures in selection and management of projects is the Net Present Value (NPV). In the paper, we study a case when initial data about the NPV p...
Lev V. Utkin
WSC
1998
13 years 9 months ago
So You Have Your Model: What to Do Next. A Tutorial on Simulation Output Analysis
Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
Martha A. Centeno, M. Florencia Reyes