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...y to make inferences in the absence of direct measurements, makes exposure modeling a powerful tool for predicting exposures by exploring hypothetical situatio == Modeling indoor air == ...

...by Wossenu Abtew in 1996.<ref>Abtew W. Evapotranspiration Measurements and Modeling for Three Wetland Systems in South Florida. J. Am. Water Resour. Assn. 1996 ...n in areas where satellite remote sensing solar radiation data is the only data available.<ref>{{Cite journal|last1=Melesse|first1=Assefa M.|last2=Abtew|fi ...

...irst1 = N | year = 1997 | title = Nonlinear Inference and Cluster-Weighted Modeling | journal = Annals of the New York Academy of Sciences | volume = 808 | pag ...cted values for an output variable ''y'' from an input variable ''x'', the modeling and calibration procedure arrives at a [[joint probability distribution|joi ...

...as-Hoffman_model.png|thumb|350px|<big>Maas–Hoffman model</big> fitted to a data set by [[regression analysis]]. The soil salinity on the ''x''-axis is repr ...ion analysis]] and [[optimization]] so that the [[goodness of fit]] of the data to the model is maximum. ...

...s.<ref name="bda">{{Cite book |last1=Gelman |first1=Andrew |title=Bayesian Data Analysis |last2=Carlin |first2=John B. |last3=Stern |first3=Hal S. |last4=D ...t1=John |last2=McCulloch |first2=Robert |last3=Meng |first3=Xiao-Li |title=Modeling Covariance Matrices in Terms of Standard Deviations and Correlations, with ...

...dge tracing: Modeling the acquisition of procedural knowledge|journal=User Modeling and User-Adapted Interaction|date=1995|volume=4|issue=4|pages=253–278|doi=1 BKT assumes that student knowledge is represented as a set of [[binary data|binary variables]], one per skill, where the skill is either mastered ...

== Error analysis in numerical modeling == In numerical simulation or modeling of real systems, error analysis is concerned with the changes in the output ...

...cal) attributes as the variables being explained (dependent variables). By modeling these attribute patterns, ALAAMs help reveal how network ties affect person ...A., Kuhns, L. M., Zhao, Y., Amith, M., & Schneider, J. A. (2019). Network modeling of PrEP uptake on referral networks and health venue utilization among youn ...

===Choosing a reference data set=== ...ompared. Absent a convenient reference data set, an accumulation of pooled data from several sets or even an artificial or hypothetical set can be used. ...

...around the network). The ambient calculus provides a unified framework for modeling both kinds of mobility.<ref name="cardelli1998">{{cite journal|last=Cardell * a single data object (bounded by “[[this (computer science)|self]]”) ...

'''Phase space measurement with forward modeling''' is one approach to address the scattering issue in biomedical imaging. ...3D neural activity recording"]</ref> Phase space measurement with forward modeling can be used in neuroscience to record neuronal activity in the brain. ...

...[survival analysis]], hazard rate models are widely used to model duration data in a wide range ...pdfs/STB-39-pgmhaz.pdf|title=Estimation of discrete time (grouped duration data) proportional hazards models: pgmhaz|last=Jenkins|first=Stephen P|publisher ...

* [[Eugenia Kalnay|E. Kalnay]], ''Atmospheric Modeling, Data Assimilation and Predictability'' (Chapter 3, Section 3.3.3), Cambridge Uni * D.A. Randall, ''Atmospheric Modeling'' (AT604, Chapter 5, Section 5.11), http://kiwi.atmos.colostate.edu/group/d ...

...he participating players involved, not by an arbitrary rule. A "strategic2 modeling of network requires defining a network’s costs and benefits and predicts ho ...ett and Ansell.pdf|300px|thumbnail|right|15th-century Florentine marriages data from Padgett and Ansell]] ...

...ntervals, making it distinctively useful in fields that deal with discrete data patterns and reliability analysis. The discrete Weibull distribution is [[I ...gle.se/scholar?q=Maximum+Likelihood+Estimation+for+Type+I+Censored+Weibull+Data+Including+Covariates&hl=en&as_sdt=0&as_vis=1&oi=scholart&sa=X&ved=0ahUKEwj3 ...

...aphing]] and estimating parameters modeling the self-similarity of network data. ...rticular for a time series of length <math>N</math> divide the time series data into <math>k</math> groups each of size <math>\frac{N}{k}</math>, compute < ...

...02">Wooldridge, J. (2002): Econometric Analysis of Cross Section and Panel Data, MIT Press, Cambridge, Mass.</ref> Rather than [[first-difference estimato ...nal of Econometrics (18), pp. 5-46</ref><ref>Chamberlain, G. (1984): Panel Data. Handbook of Econometrics, Volume 2, ed. Z. Griliches and M. D. Intriligato ...

...ematical tools as actuarial insurance premium. Nevertheless, [[Catastrophe modeling]], [[Systematic risk]] or risk aggregation statistics tools are more import # Historical (aggregate) data extraction ...

|data = Low- and high-fidelity data ...eme|url=https://doi.org/10.1007/s10237-014-0618-0|journal=Biomechanics and Modeling in Mechanobiology|language=en|volume=14|issue=3|pages=489–513|doi=10.1007/s ...

'''Geotechnical centrifuge modeling''' is a technique for testing physical scale models of [[geotechnical|geote | title=Proc. Workshop on constitutive and centrifuge modeling: two extremes ...