Model multiple

While simple linear regression uses only one independent variable for modeling, multiple linear regression uses more variables. 

HOTMAC/RAPTAD requires very extensive meteorological and terrain data input. The program user s guide and diagnostics are inadequate. HOTMAC does not model multiple scale eddy turbulence and does not provide for dispersion of gases that are denser-than air. It must be tailored to reflect the climatic characteristics of specific sites. 

Nelson E, Mendoza G, Regetz J, Polasky S, Tallis H, Cameron D, Chan KM, et al. Modeling multiple ecosystem services, biodiversity conservation, commodity production and tradeoffs at landscape scales. Frontiers in Ecology and Environment, 2009. 7 pp. 4-11. doi 10.1890/080023... 

Shift models and lockup times Every shift may have a performance factor f that changes an execution time T of a quant to T/f. The shift model may change after a few weeks or months. Therefore after this time the shift model can be simplified to the availability factor that expresses how much percent of the time can be used for production. It is possible to specify if a quant is interruptible by a shift pause or a lockup. This may depend on the product that is produced by the quant. Using the maximum allowed break for a quant is also a technique to model multiple single resources as one multiple resource. 

Attempts to model multiple degradation conditions, known in the electrical industry as multi-stress ageing, have generally proved too difficult to model, or to require an unreasonable quantity of information. 

On the basis of the results from XPS studies by Kanamura and co-workers that the SEI has a multilayered structure,Peled and co-workers modified their lithium electrode passivation model to include carbonaceous anodes and proposed a so-called mosaic model to describe the SEI structure on the anode, as Figure 15a shows.According to this model, multiple reductive decompositions occur between the negatively charged anode surface and the various electrolyte components simultaneously, depositing a mixture of insoluble products on the anode. This heteropolymicrophase SEI consists of many microregions that are of entirely different chemical... 

RANDOM SCISSION KINETICS MULTIPLE DEAD-END INHIBITION MULTIPLE-TURNOVER CONDITIONS MULTIPLICATIVE MODEL MULTIPLICITY... 

The problem might also entail multiple stages if it is intended to model multiple design decision periods. See Birge and Louveaux (1997, pp. 59-60) for a discussion of the issue. 

It is clear that more studies are needed with various animal models, multiple levels of dietary fat, different fat sources, and differing intensities of carcinogenic stimuli if the tumor response curve to varying fat intake is to be characterized. Such data would be of value in predicting the levels and kind of fat intake that might significantly influence human breast cancer incidence. 

Table 7.3. Input Data and Product Specifications using Binary Mixtures (Simple Dynamic Model, Multiple Duties). [Mujtaba and Macchietto, 1996]j...

Nonhuman Primate Models. . Multiple System Atrophy (MSA). . ... 

This planar structure is the one expected for three pairs of electrons around a central atom, which means that a double bond should be counted as one effective pair in using the VSEPR model. This makes sense because the two pairs of electrons involved in the double bond are not independent pairs. Both of the electron pairs must be in the space between the nuclei of the two atoms to form the double bond. In other words, the double bond acts as one center of electron density to repel the other pairs of electrons. The same holds true for triple bonds. This leads us to another general rule For the VSEPR model multiple bonds count as one effective electron pair. 

Quantitative structure property relationships (QSPRs) were thus developed using different statistical models multiple linear regressions on one hand, and neural networks on the other hand. The reliability of each of these models was determined from their predictive ability. 

Traditionally, the use of analytical models in environmental tracer studies has been far more widespread than numerical models. There are a number of reasons for this. Analytical models are easier to use and manipulate than numerical ones they require less hydrodynamic information and/or field data and the time required to build a transport model is much less than for a numerical model. Multiple examples of such models can be found in the literature for various tracers H, He, C, and C1 (e.g., Castro et al., 2000 Nolte et al., 1991 Schlosser et al., 1989 Solomon et al., 1996 Stute et al., 1992b Torgersen and Ivey, 1985). Generally, these models are either applied to a single aquifer in porous or fractured media or to one particular area within the aquifer such as recharge or discharge areas. 

Tsai, K. and Fox, R.O. (1995), Modeling multiple reactive scalar micromixing with the generalized lEM model, Phys. Fluids, 7, 2820. 

PLS Able to model multiple target properties simultaneously Able to use collinear descriptors Difficulty in interpreting scores for the molecular descriptors Assumes a linear relationship between target property and molecular descriptors... 

There are many scenarios where a precise schema mapping may not be available. For instance, a comparison search bot that tracks comparative prices from different web sites has - in real time - to determine which attributes at a particular location correspond to which attributes in a database at another URL. In many cases, users querying two databases belonging to different organizations may not know what is the right schema mapping. The common model of attribute correspondences assumes a unique and deterministic possible correspondence to each attribute and thus incapable of modeling multiple possibilities. 

Let us mention again, however, that in the course of real modeling multiple compromises are inevitable. This first of all relates to the compromise between the thoroughness and rigorousness of the description and, on the other hand, the accessibility of primary information and usefulness of the model. This should be also addressed to both formulation of ruling principles and their execution. Accordingly, it is necessary to formulate them in order to realize their inherent limitations, i.e., the area of phenomena and ranges of parameters where the model can (and cannot) be applied. 

---