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Topic: Statistical model

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In the News (Wed 17 Apr 19)

  Statistical model - Wikipedia, the free encyclopedia
A statistical model is used in applied statistics.
Observations of a variety of statistical attributes is a common way of studying relationships among the attributes of a single unit.
Statistical inference is the art of making statements about which elements of this set are likely to be the true one.
en.wikipedia.org /wiki/Statistical_model   (267 words)

 Statistical Approaches to Establishing Bioequivalence
Statistical analyses of BE data are typically based on a statistical model for the logarithm of the BA measures (e.g., AUC and Cmax).
The model is a mixed-effects or two-stage linear model.
Using logarithmic transformation, the general linear statistical model employed in the analysis of BE data allows inferences about the difference between the two means on the log scale, which can then be retransformed into inferences about the ratio of the two averages (means or medians) on the original scale.
www.fda.gov /cder/guidance/3616fnl.htm   (8030 words)

 Planning statistical research - Wikipedia, the free encyclopedia
Sometimes, our interest in a Unit may be purely instrumental, that is, we are interested in the Unit because of a population to which it belongs or an environment in which it resides.
Our desire to describe a population may be satisfied by a statistical report on a sample from that population.
The methodology is to select a sample and observe just the Units which are selected and then to summarize our results and interpret their meaning for the population.
en.wikipedia.org /wiki/Planning_statistical_research   (382 words)

 The Statistical Atmospheric Model   (Site not responding. Last check: 2007-11-05)
The atmospheric model calculates the winds that blow on the ocean model's surface.
The second is philosophical: when we construct the statistical model, we go through many steps intended to filter out noise that we believe only degrades the predictive performance of the model.
When we go to use the statistical atmospheric model, we simply decompose the model's SST field into the same patterns as historically observed, then apply the wind patterns that are associated with those SST patterns to the ocean model's surface.
meteora.ucsd.edu /~pierce/elnino/statatmosmod.html   (228 words)

 MODELS   (Site not responding. Last check: 2007-11-05)
The models fall into three classes: statistical models that try to relate the hurricanes' motion to experience with past storms, dynamical models that solve the fundamental physical equations that describe atmospheric motions under various simplifying assumptions, and statistical-dynamical models that use results from dynamical-model calculations as input to statistical descriptions of storm motion.
BAM (Beta and Advection Model) assumes that the hurricane moves with the aviation model's winds (vertically averaged and filtered to remove the hurricane) plus a drift toward the pole and westward due to the northward increase of the Coriolis parameter (the "beta effect").
It uses the output from the aviation model in a series of statistical regression relations to predict hurricane motion.
www.aoml.noaa.gov /hrd/nhurr97/MODELS.HTM   (494 words)

 Statistical Model Reduces Chicken Giveaway
ARS food scientist Louis L. Young developed a statistical modeling approach to minimize the amount of overfill in prepackaged poultry products.
The statistical model indicates that presizing the product and then packaging by specific numbers of pieces from each weight category may help reduce the amount of giveaway, a cost savings for wholesalers--especially of high-value products such as chicken breast fillets.
"Statistical Model Reduces Chicken Giveaway" was published in the July 2001 issue of Agricultural Research magazine.
www.ars.usda.gov /is/AR/archive/jul01/model0701.htm   (440 words)

The basic model that is used as a "no-skill" forecast to compare other models against is CLIPER (CLImatology and PERsistence), which is a multiple regression statistical model that best utilizes the persistence of the current motion and also incorporates climatological track information (Aberson 1998).
The Beta and Advection Model (BAM), follows a trajectory in the pressure-weighted vertically-averaged horizontal wind from the Aviation model beginning at the current storm location, with a correction that accounts for the beta effect (Marks 1992).
It is a multiple regression statistical model that best utilizes the persistence of the intensity trends and also incorporates climatological intensity change information (Jarvinen and Neumann 1979).
www.aoml.noaa.gov /hrd/tcfaq/F2.html   (692 words)

 Euroworkshop on Statistical Modelling - Model Buildin and Evaluation
The Euroworkshop on Statistical Modelling was a project fundeded by the European Commission (CORDIS) in the programme High Level Scientific Conferences.
To provide valid Statistical Models that fulfil the task of modelling reality, it is of fundamental importance to consider the model building process in more depth and to check and validate fitted models by means of model diagnostics.
Model validation does not only mean to check one particular model at hand (like a typical testing procedure), but also, if not more importantly, to check whether the entire model class being applied is valid.
www.stat.uni-muenchen.de /euroworkshop/2002.html   (420 words)

 JUMBL: A Tool for Model-Based Statistical Testing
Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality.
In order to apply this method, a usage model is developed and analyzed to validate its fitness for use in testing.
The model may then be used to generate test cases representing expected usage, and to reason about system reliability given the performance on the set of tests.
csdl2.computer.org /persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/hicss/2003/1874/09/1874toc.xml&DOI=10.1109/HICSS.2003.1174916   (180 words)

 ISI's Natural Language Group ReWrite
We also plan research into statistical, trainable models of translation that are sensitive to these tree structures.
Statistical models of English have been used previously in MT, NLG, and SR, but they are also directly applicable to the problem of synthesizing short abstracts from long documents.
We will expand our tree-based English model to include discourse relations between text segments; no one has yet built a formal, probabilistic model at this level, and we expect it to have many applications.
www.isi.edu /natural-language/projects/rewrite   (660 words)

 Statistical Model of the Ocean Surface for Wave-Scattering Theories
Statistical Model of the Ocean Surface for Wave-Scattering Theories
Build an ocean surface model, which would make it possible to obtain all statistical characteristics of the ocean surface from a radar signal.
The explicit analytical formulas in terms of model parameters can be derived for the scattering cross section and any mean values appearing in the wave scattering theory.
www.etl.noaa.gov /about/review/os/tatarskii/i.html   (281 words)

 D-1: Statistical Sciences   (Site not responding. Last check: 2007-11-05)
A statistical characterization of a process starts out by determining a suitable statistical model for the products made by the process.
Data are also needed to estimate the parameters in the statistical model.
The particular quality control chart is driven by the statistical model developed in the process characterization.
www.stat.lanl.gov /research/statquality.shtml   (223 words)

 A Statistical Learning/Pattern Recognition Glossary
The only statistical model that is needed is the conditional model of the class variable given the measurement.
The point that all statistical models are necessarily biased in one way or another, and that no single bias is globally optimal.
A Markov chain model for a sequence of variables, where the next variable is predicted from the previous variable via regression, typically linear.
www.cs.wisc.edu /~hzhang/glossary.html   (4913 words)

 The Overdispersed Binomial Regression Model   (Site not responding. Last check: 2007-11-05)
In the analysis of county-level data this means that the model is good for most of the counties in each state, and in the analysis of data for PBC precincts, for most of the precincts in PBC.
The idea that the model is good for most of the data does not mean that the model fully characterizes the process that generated most of the vote counts.
The robust estimation methods we use have good statistical properties even when the property holds only for a majority of the observations.
elections.fas.harvard.edu /wssmh/node10.html   (409 words)

 Technical Brief on the Statistical Model
The following few sections describe some general statistical terminology that is important for understanding the analysis presented in this Technical Brief, especially in Section 5.
In the statistical model it is our intention to present the significant causal connection between a set of explanatory variables and a response variable.
In a multiple regression model, sets of explanatory variables called independent variables jointly predict the outcome of the response variable or the dependent variable.
www.infoworks.ride.uri.edu /2002/techbrief/appendix-A.asp   (1837 words)

 On Statistical Model Validation - Lee, Poolla (ResearchIndex)   (Site not responding. Last check: 2007-11-05)
Abstract: In this paper we formulate a particular statistical model validation problem in which we wish to determine the probability that a certain hypothesized parametric uncertainty model is consistent with a given input-output data record.
Using a Bayesian approach and ideas from the field of hypothesis testing, we show that in many cases of interest this problem reduces to computing relative weighted volumes of convex sets in R N (where N is the number of uncertain parameters).
Statistical Testability Of Uncertainty Models - Lee, Poolla (1994)
citeseer.ist.psu.edu /36988.html   (632 words)

 Encycogov - The Encyclopedia about Corporate Governance
A new statistical model on the determinants of executive compensation in listed US firms has been added.
The model includes variable definitions and theoretical justifications for why the explanatory variables are included in the model.
This is the first attempt to make statistical models from research available in an interactive version where model coefficients and variables can be clicked to obtain more information.
www.encycogov.com   (474 words)

 Statistical Model Fits Progression Of Prion Disease
Among other things, the researchers found motivation for their model in the statistically uniform, low-level incidence of CJD worldwide, and in the highly reproducible incubation time relative to infection dose, both characteristics consistent with the physical and chemical processes described by statistical mechanics.
The new model suggests that an injection of harmless hamster prions into an infected mouse might lead to competition between the mouse and hamster prions that could dramatically slow the progress of the disease.
In addition to suggesting novel prion disease therapies, a statistical mechanics model of the infections might aid in predicting the course of outbreaks such as the string of CJD cases that struck England in the late 1990s.
unisci.com /stories/20013/0723014.htm   (455 words)

 Statistical Model of the Ocean Surface for Wave-Scattering Theories   (Site not responding. Last check: 2007-11-05)
This statistical model allows us to find, in explicit analytical form, all statistical mean values in a general case of a non-Gaussian probability distribution, which appear in different theories of wave scattering by rough surfaces.
It can be used for the Kirchhoff approximation, two-scale model, small-slope approximation, tilt-invariant approximation, and some other scattering models.
This method allows us to create a statistical model with the given spectrum of the surface and with the given probability distribution (even non-Gaussian) for any single point of the surface.
www.etl.noaa.gov /about/review/os/tatarskii/c.html   (213 words)

The CAP Model is applicable to any system or vehicle which imparts information to an observer which requires the observer to learn or to form an opinion, or which elicits emotion(s) or value judgment(s) in the observer.
During the development of the CAP Numeric Analysis Model, the developer observed our culture and society for examples of unacceptable activities and behavior -- unacceptable in accordance with the teachings of Jesus -- examples of activities and behavior which are potentially destructive to wholesome morals, values, and principles.
Discarding the high and low score in a statistical analysis model is a standard technique to compensate for Gaussian skewing in the material under investiagtion,the model, and the investigator.
www.capalert.com /method/method.htm   (2402 words)

 Medieval Theories of Modality
There are four modal paradigms in ancient philosophy: the ‘statistical’ or ‘temporal frequency interpretation’ of modality, the model of possibility as a potency, the model of antecedent necessities and possibilities with respect to a certain moment of time (diachronic modalities), and the model of possibility as non-contradictoriness.
The term ‘statistical interpretation of modality’ was introduced into the modern discussion by Oscar Becker (1952), and it has been applied since in descriptions of certain ways of thinking in the history of philosophy as well, particularly by Jaakko Hintikka (1973).
The model of possibility as potency prima facie allowed Aristotle to speak about all kinds of unrealized singular possibilities by referring to passive or active potencies, but taken separately they represent partial possibilities which do not guarantee that their actualization can take place.
plato.stanford.edu /entries/modality-medieval   (6997 words)

 List of statistical topics - Wikipedia, the free encyclopedia
The "Related changes" link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below.
Statistical Methods for Research Workers — a book by Ronald Fisher
Systematic error (also see bias (statistics) and errors and residuals in statistics)
en.wikipedia.org /wiki/List_of_statistical_topics   (225 words)

 [No title]
At this stage, the inadequacy of the simple model may be revealed and some parts of the model need to be changed.
Summaries of data are produced using a statistical model, which is a working approximation for the data.
The statistical model has mathematical functions that: Describe the large scale systematic effects, and Describe the pattern of random effects.
www.uky.edu /~kdbrad2/EPE557/kb557NotesChapter10B.doc   (889 words)

 Bayesian Model Averaging Home Page
Bayesian Model Averaging is a technique designed to help account for the uncertainty inherent in the model selection process, something which traditional statistical analysis often neglects.
BMA has been applied successfully to many statistical model classes including linear regression, generalized linear models, Cox regression models, and discrete graphical models, in all cases improving predictive performance.
Model combination has been discussed extensively in the econometric literature, usually in the context of combining several experts' forecasts.
www.research.att.com /~volinsky/bma.html   (806 words)

 USGS SIR 2004-5199 A Statistical Model and National Data Set for Partioning Fish-Tissue Mercury Concentration Variation ...
This report describes a statistical model and national data set (31,813 samples) for calibrating the aforementioned statistical model that can separate spatiotemporal and sample characteristic effects in fish-mercury concentration data.
This model could be useful for evaluating spatial and temporal trends in fishmercury concentrations and developing fish-consumption advisories.
Wente, S.P., 2004, A statistical model and national data set for partitioning fish-tissue mercury concentration variation between spatiotemporal and sample characteristic effects: U.S. Geological Survey Scientific Investigation Report 2004-5199, 15 p.
pubs.usgs.gov /sir/2004/5199   (446 words)

 Massey Ratings Description
This is a brief description of the Massey Rating model.
Future improvements are likely in an effort to further refine the model to accurately reflect the nature of sports.
As was mentioned before, the Massey model will in some sense minimize the unexplained error (noise).
www.masseyratings.com /theory/massey.htm   (1691 words)

 A Spatial Statistical Model for Landscape Genetics -- Guillot et al. 170 (3): 1261 -- Genetics
A Spatial Statistical Model for Landscape Genetics -- Guillot et al.
individuals is modeled as a spatial mixture of panmictic populations,
model was used to simulate the test data sets.
www.genetics.org /cgi/content/full/170/3/1261   (6598 words)

 Peak Oil News and Message Boards >> Forums >> Depletion Modeling >> A Statistical Model for the Simulation of Oil ...   (Site not responding. Last check: 2007-11-05)
It would be interesting to use this hierarchical modelling approach in a Bayesian setting to actually infer URR from existing data.
The kind of model I would use would take the form of a simple logistic (or Verhulst) curve for reservoir depletion, but would not assume iid (or exchangeability) for the individual data points: a first order Markov Process is more appropriate.
The model seems to indicate that we peaked in 03 (but I might be misreading the image).
www.peakoil.com /fortopic13463.html   (4461 words)

 Amazon.com: A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy ...   (Site not responding. Last check: 2007-11-05)
A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday.
It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications.
There is technical information for the researcher and biographical information for the statistical historians but not too much of one at the expense of the other.
www.amazon.com /exec/obidos/tg/detail/-/0387972234?v=glance   (736 words)

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