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The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements

Anderson, K.K. - 2008

Measurement error modeling is a statistical approach to the estimation of unknown model parameters which takes into account the measurement errors in all of the data. Approaches which ignore the measurement errors in so-called independent variables may yield inferior estimates of unknown model...

Persistent link: https://www.econbiz.de/10009435461

Effect of initial seed and number of samples on simple-random and Latin-Hypercube Monte Carlo probabilities (confidence interval considerations)

ROMERO,VICENTE J. - 2008

In order to devise an algorithm for autonomously terminating Monte Carlo sampling when sufficiently small and reliable confidence intervals (CI) are achieved on calculated probabilities, the behavior of CI estimators must be characterized. This knowledge is also required in comparing the...

Persistent link: https://www.econbiz.de/10009435548

Experimental uncertainty estimation and statistics for data having interval uncertainty.

Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev - 2008

intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than …, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics … widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as …

Persistent link: https://www.econbiz.de/10009435587

Forecasting urban highway travel for year 2005

Miaou, Shaw-Pin; Rathi, A.K.; Southworth, F.; Greene, D.L. - 2008

As part of a study aimed at estimating suburban highway needs for year 2005, models were developed for forecasting daily vehicle miles of travel (DVMT) for urban areas and its distribution by highway functional class, urban location, and urban area size. A regression model combining both time...

Persistent link: https://www.econbiz.de/10009435975

Design of Complex Systems in the presence of Large Uncertainties: a statistical approach

Koutsourelakis, P - 2008

performance statistics with respect to the design variables. For that purpose we explore parametric and non-parametric (kernel …. For that purpose the present paper advocates a framework that allows for calculating the values of response statistics … sensitivity of those statistics to the design variables of interest. …

Persistent link: https://www.econbiz.de/10009436326

Creating Ensembles of Decision Trees Through Sampling

Kamath,C; Cantu-Paz, E - 2008

Recent work in classification indicates that significant improvements in accuracy can be obtained by growing an ensemble of classifiers and having them vote for the most popular class. This paper focuses on ensembles of decision trees that are created with a randomized procedure based on...

Persistent link: https://www.econbiz.de/10009436448

1991 Annual report on scientific programs: A broad research program on the sciences of complexity

2008

1991 was continued rapid growth for the Santa Fe Institute (SFI) as it broadened its interdisciplinary research into the organization, evolution and operation of complex systems and sought deeply the principles underlying their dynamic behavior. Research on complex systems--the focus of work at...

Persistent link: https://www.econbiz.de/10009436710