Posts Tagged ‘Models’

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Deals with the estimation of natural resources using a Monte Carlo methodology. Includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Discusses the geostatistical simulation techniques in such a specific way. … More >>

Geostatistical Simulation: Models and Algorithms

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This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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An algorithm that calculates the sensitivity to the systematic error of the fitted parameters of a least-squares regression model, with respect to the known parameters, i… More >>

Analysis of the sensitivity to the systematic error in least-squares regression models

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This comprehensive two-volume set provides all the necessary concepts of capital investment evaluation, capital budgeting, and decision analysis. Volume 2 is specifically designed to present the concepts of decision analysis, incorporating risk and uncertainty as applied to capital investments. Mian takes the reader step-by-step through the decision-making process, providing comprehensive coverage of all decision analysis tools currently available while out… More >>

Project Economics and Decision Analysis: Probabilistic Models


Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit nptel.iitm.ac.in


Switching between the two Leslie simulations in the Nord C2. Both sound good. The new sounds very close to my own Leslie 145. And this is logical since they used a 145 leslie for this simulation. You have to add a little bass on the Eq (according to my taste) on this model if you play left hand bass. The simulation model to use is really a matter of taste and mood i think.

Vaccination or culling best to prevent foot-and-mouth disease, computer models suggest
Researchers are finding that if a foot-and-mouth disease outbreak is not in the epidemic stage, preemptive vaccination is a minimally expensive way to halt the disease’s spread across a network of animals.

Read more on Science Daily

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Cool, arent they?

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Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community since its first publication in 1988, the book shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete an… More >>

Mathematical Models in Biology

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A reprint of one of the classic volumes on portfolio theory and investment, this book has been used by the leading professors at universities such as Stanford, Berkeley, and Carnegie-Mellon. It contains five parts, each with a review of the literature and about 150 pages of computational and review exercises and further in-depth, challenging problems. Frequently referenced and highly usable, the material remains as fresh and relevant for a portfolio theory course as… More >>

Stochastic Optimization Models in Finance 2006

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“Applied Linear Statistical Models”, 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented … More >>

Applied Linear Regression Models

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Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book.

The book begins with an excellent introduc… More >>

Regression Models for Categorical Dependent Variables Using Stata, Second Edition

Read more: space.newscientist.com Two black holes merge quickly in this simulation of a close encounter between three black holes (Courtesy of M Campanelli/L Carlos/Y Zlochower/HP Bischof; background image: NASA/ESA/Hubble Heritage/STScI/AURA)

March 7, 2007 In this talk, methods that we have designed to analyze and help to identify certain protein regulatory networks will be presented. Hybrid automata represent one suitable modeling framework, as the protein concentration dynamics inside each cell are modeled using linear differential equations; inputs activate or deactivate these continuous dynamics through discrete switches, which themselves are controlled by protein concentrations reaching given thresholds. We present an …

Researchers have started using computational models of the brain, making it easier to study the brain’s connections. An electrical and computer engineering doctoral student has discovered new evidence on how the brain reacts to fear, including important findings that could help victims of post-traumatic stress disorder.

View full post on ScienceDaily: Mathematical Modeling News

A new “Roadrunner Universe” model requires a petascale computer because, like the universe, it’s mind-bendingly large. The model’s basic unit is a particle with a mass of approximately one billion suns (in order to sample galaxies with masses of about a trillion suns), and it includes 64 billion and more of those particles. The model is one of the largest simulations of the distribution of matter in the universe, and aims to look at galaxy-scale mass concentrations above and beyond quantities seen in state-of-the-art sky surveys.

View full post on ScienceDaily: Mathematical Modeling News


Richard Bradford speaks at the ACU Math and Sciences Conference.

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