Slides - pharmaHUB
... • Review Probability and Statistics or have a text available during Module 1 (e.g. Runger and Montgomery, Applied Statistics and Probability for Engineers) • Work all lecture examples using your own version of the software. • Work all problems at the end of the lectures. ...
... • Review Probability and Statistics or have a text available during Module 1 (e.g. Runger and Montgomery, Applied Statistics and Probability for Engineers) • Work all lecture examples using your own version of the software. • Work all problems at the end of the lectures. ...
Chapter 1
... Uncontrollable Inputs – environmental factors that are not under the control of the decision maker In the ABC Corp. example, the profit per unit ($10), the production time per unit (5 hours), and the production capacity (40 hours) are environmental factors not under the control of the manager or dec ...
... Uncontrollable Inputs – environmental factors that are not under the control of the decision maker In the ABC Corp. example, the profit per unit ($10), the production time per unit (5 hours), and the production capacity (40 hours) are environmental factors not under the control of the manager or dec ...
Symmetry Plus Quasi Uniform Association Model and Its Orthogonal
... asymptotic separability, which is equivalent to the orthogonality in Read (1977) and the independence in Darroch and Silvey (1963) of the test statistic for goodness-of-fit of two models (also see Lang & Agresti, 1994; Lang, ...
... asymptotic separability, which is equivalent to the orthogonality in Read (1977) and the independence in Darroch and Silvey (1963) of the test statistic for goodness-of-fit of two models (also see Lang & Agresti, 1994; Lang, ...
PHYSIOLOGICAL MODELING - jrcanedo's E
... variable. For a given set of initial conditions, a deterministic model yields the same solution each and every time. • A stochastic model involves random variables that are functions of time and include probabilistic considerations. For a given set of initial conditions, a stochastic model yields a ...
... variable. For a given set of initial conditions, a deterministic model yields the same solution each and every time. • A stochastic model involves random variables that are functions of time and include probabilistic considerations. For a given set of initial conditions, a stochastic model yields a ...
Mathematical model
... 5. Linear vs. nonlinear: Mathematical models are usually composed by variables, which are abstractions of quantities of interest in the described systems, and operators that act on these variables, which can be algebraic operators, functions, differential operators, etc. If all the operators in a m ...
... 5. Linear vs. nonlinear: Mathematical models are usually composed by variables, which are abstractions of quantities of interest in the described systems, and operators that act on these variables, which can be algebraic operators, functions, differential operators, etc. If all the operators in a m ...
Lecture Notes from February 7, 2005
... c) Performance: BIC performs better with nested models and large sample sizes; at small sample sizes the BIC-selected model can be quite biased (underfit), especially if there are tapering effects. d) Fit of selected model: Based on simulations, the model selected by AIC always fits if the global mo ...
... c) Performance: BIC performs better with nested models and large sample sizes; at small sample sizes the BIC-selected model can be quite biased (underfit), especially if there are tapering effects. d) Fit of selected model: Based on simulations, the model selected by AIC always fits if the global mo ...
Coopr: A Python Repository for Optimization
... Initial mathematical prototype developed between LM and Sandia Model was refined and extended at LM • Internal discussions with another business unit – LM build the Pyomo model and debugged it • Yes, there were a few Pyomo bugs, but not too many… Observations: – A non-expert user was able to use Pyo ...
... Initial mathematical prototype developed between LM and Sandia Model was refined and extended at LM • Internal discussions with another business unit – LM build the Pyomo model and debugged it • Yes, there were a few Pyomo bugs, but not too many… Observations: – A non-expert user was able to use Pyo ...
Historical Survey - Atmospheric Sciences
... Ancient Synoptic Ideas • The Book of Job (37:22) states, “Fair weather cometh out of the north”, which is true for many midlatitude locations when cold, high-pressure systems are found north of the ...
... Ancient Synoptic Ideas • The Book of Job (37:22) states, “Fair weather cometh out of the north”, which is true for many midlatitude locations when cold, high-pressure systems are found north of the ...
A Mesoscale Tour of the Pacific Northwest
... Ancient Synoptic Ideas • The Book of Job (37:22) states, “Fair weather cometh out of the north”, which is true for many midlatitude locations when cold, high-pressure systems are found north of the ...
... Ancient Synoptic Ideas • The Book of Job (37:22) states, “Fair weather cometh out of the north”, which is true for many midlatitude locations when cold, high-pressure systems are found north of the ...
Teaching Mathematics to Biologists and Biology to
... What is D? Can you describe it in your own words? What’s another form for this model? Describe what this model means in terms of the crabs. Does this model fit the data? Why or why not? Is this model realistic? ...
... What is D? Can you describe it in your own words? What’s another form for this model? Describe what this model means in terms of the crabs. Does this model fit the data? Why or why not? Is this model realistic? ...
A simple mathematical model for Batesian mimicry
... the sense that it provides the maximum benefit for the mimic. Heuristically, if there are too many mimics, predators will find palatable prey within the model-mimic system and will sample freely from this, thus providing the mimic with little benefit. On the other hand, if the system is almost exclu ...
... the sense that it provides the maximum benefit for the mimic. Heuristically, if there are too many mimics, predators will find palatable prey within the model-mimic system and will sample freely from this, thus providing the mimic with little benefit. On the other hand, if the system is almost exclu ...
Weather Forecasting for Cross Country Soaring
... Thickness of 5-6k AGL - higher is better Light winds of 15kt or less, minimal shear or gradients Adequate moisture for fair weather Cu – but not so much to cause too much rain, overdevelopment, or storms Consistent conditions starting in late morning and lasting until sunset ...
... Thickness of 5-6k AGL - higher is better Light winds of 15kt or less, minimal shear or gradients Adequate moisture for fair weather Cu – but not so much to cause too much rain, overdevelopment, or storms Consistent conditions starting in late morning and lasting until sunset ...
biomechanical approach for force analysis of human body
... Models are conceptual constructions which allow formulation and testing of hypothesis. A mathematical model attempts to duplicate the quantitative behavior of the system. Mathematical models are used in today’s scientific and technological world due to the ease with which they can be used to analyze ...
... Models are conceptual constructions which allow formulation and testing of hypothesis. A mathematical model attempts to duplicate the quantitative behavior of the system. Mathematical models are used in today’s scientific and technological world due to the ease with which they can be used to analyze ...
Efficient Estimation of Word Representation in Vector Space
... In this model, words in sequences from past and future are input and they are trained to predict the current sample ...
... In this model, words in sequences from past and future are input and they are trained to predict the current sample ...
13TH ICCRTS
... strategic/operational/tactical environment in which the C2-node acts. This supports an approach to C2-modelling in which, on the one hand, the specific goals of C2-processes do not need to be distinguished, but, on the other hand, the interconnectedness of C2-processes and their timescales become th ...
... strategic/operational/tactical environment in which the C2-node acts. This supports an approach to C2-modelling in which, on the one hand, the specific goals of C2-processes do not need to be distinguished, but, on the other hand, the interconnectedness of C2-processes and their timescales become th ...
Weather
... – Solution: additional information, which is statistical and dynamical => use 3D and 4D (VAR) data assimilation, which is used on the basis of incomplete and possibly incorrect observations to analyse the likely current state of the atmosphere and to determine the error in the analysis. – Observatio ...
... – Solution: additional information, which is statistical and dynamical => use 3D and 4D (VAR) data assimilation, which is used on the basis of incomplete and possibly incorrect observations to analyse the likely current state of the atmosphere and to determine the error in the analysis. – Observatio ...
PPT - 서울대 Biointelligence lab
... A comparing ML to an estimator derived from STC (spike-triggered covariance), which uses the principal eigenvector of the STC matrix to estimate k. Result: the ML estimate outperforms the STC and STA except when f is ...
... A comparing ML to an estimator derived from STC (spike-triggered covariance), which uses the principal eigenvector of the STC matrix to estimate k. Result: the ML estimate outperforms the STC and STA except when f is ...
Lab 6: Models for MOS Devices
... A more accurate model is the BSIM model used in programs such as SPICE and SPECTRE. The basic BSIM 3 model has 97 parameters but extreme values for the BSIM model parameters (often termed corner models) are often included resulting in a several-fold increase in the total number of parameters. Even t ...
... A more accurate model is the BSIM model used in programs such as SPICE and SPECTRE. The basic BSIM 3 model has 97 parameters but extreme values for the BSIM model parameters (often termed corner models) are often included resulting in a several-fold increase in the total number of parameters. Even t ...
No Slide Title
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
part 1
... CUBIC SMOOTHING SPLINES This smoother is the solution of the following optimization problem: among all functions f(x) with two continuous derivatives, choose the one that minimizes the penalized sum of squares ...
... CUBIC SMOOTHING SPLINES This smoother is the solution of the following optimization problem: among all functions f(x) with two continuous derivatives, choose the one that minimizes the penalized sum of squares ...
Scientific Models
... How much like a penguin is Proteus? Proteus doesn’t have feathers and isn’t a living thing. But its “flippers” create the same kind of motion that a penguin’s flippers do. The MIT engineers built Proteus to mimic the way a penguin swims so that they could gain a greater understanding about boat prop ...
... How much like a penguin is Proteus? Proteus doesn’t have feathers and isn’t a living thing. But its “flippers” create the same kind of motion that a penguin’s flippers do. The MIT engineers built Proteus to mimic the way a penguin swims so that they could gain a greater understanding about boat prop ...
Practical Soaring Weather Forecasting
... Early starts possible Scattered to broken high based storms with significant dead areas by late afternoon – Some risk of microbursts ...
... Early starts possible Scattered to broken high based storms with significant dead areas by late afternoon – Some risk of microbursts ...
Translating Expressions (1.6)
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
6 + x
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
... ALGEBRAIC Use the labels to write an algebraic model based on MODEL your verbal model. ...
Interactive comment on
... I have one perspective to add. The approach taken is directly analogous to similar estimation approaches in meteorology, and is useful but in a sense not informative. Consider the actual situation being modeled. Ecosystems, far from being a continuous field of "green slime" are in fact made of up o ...
... I have one perspective to add. The approach taken is directly analogous to similar estimation approaches in meteorology, and is useful but in a sense not informative. Consider the actual situation being modeled. Ecosystems, far from being a continuous field of "green slime" are in fact made of up o ...
Tropical cyclone forecast model
A tropical cyclone forecast model is a computer program that uses meteorological data to forecast aspects of the future state of tropical cyclones. There are three types of models: statistical, dynamical, or combined statistical-dynamic. Dynamical models utilize powerful supercomputers with sophisticated mathematical modeling software and meteorological data to calculate future weather conditions. Statistical models forecast the evolution of a tropical cyclone in a simpler manner, by extrapolating from historical datasets, and thus can be run quickly on platforms such as personal computers. Statistical-dynamical models use aspects of both types of forecasting. Four primary types of forecasts exist for tropical cyclones: track, intensity, storm surge, and rainfall. Dynamical models were not developed until the 1970s and the 1980s, with earlier efforts focused on the storm surge problem.Track models did not show forecast skill when compared to statistical models until the 1980s. Statistical-dynamical models were used from the 1970s into the 1990s. Early models use data from previous model runs while late models produce output after the official hurricane forecast has been sent. The use of consensus, ensemble, and superensemble forecasts lowers errors more than any individual forecast model. Both consensus and superensemble forecasts can use the guidance of global and regional models runs to improve the performance more than any of their respective components. Techniques used at the Joint Typhoon Warning Center indicate that superensemble forecasts are a very powerful tool for track forecasting.