Statistical model
A Statistical Model for Regional Tornado Climate Studies.
... a statistical model is demon- strated that overcomes some of these difficulties and produces a smoothed regional-scale climatology of tornado ...The model is applied to data aggregated at the level ...
21
A minimal, statistical model for the surface albedo of Vestfonna ice cap, Svalbard
... new statistical model is presented that estimates this mean altitudinal albedo profile of the ice cap on the basis of a minimal set of meteorological variables on a monthly ...resolution. Model ...
33
A statistical model to identify differentially expressed proteins in 2D PAGE gels.
... likelihood model more realistically identifies the causes associat- ed with ‘‘missing’’ data, and in so doing, provides a framework that is interpretable and ...
9
Modelling Antagonic Effect of Lactic Acid Bacteria Supernatants on Some Pathogenic Bacteria
... The objective of this work was to use a parametric and nonparametric statistical model of survival analysis to evaluate the bioprotective action of lactic acid bacteria sterile supernatants. Three ...
8
A METHODOLOGY FOR DESIGN SPACE EXPLORATION OF REAL-TIME LOCATION SYSTEMS
... Resume and final remarks. The expected result of our research is summarized on Fig. 2. It is a combination of a simulation framework for modeling RTLS and a statistical model checking platform. We are to ...
17
Forward and backward inference in spatial cognition.
... Other statistical treatments of hippocampal function address the issue of context learning ...in statistical terms as a stationary distribution of ...normative statistical model of exploratory ...
22
Tópicos para uma boa análise de dados de estudos empíricos.
... a statistical model, a statistical technique and a statistical receipt; b) Sampling and Design’s implications for statistical validity; c) Complementarities and distinctions between ...
12
PRODUCT OPTIMIZATION METHOD BASED ON ANALYSIS OF OPTIMAL VALUES OF THEIR CHARACTERISTICS
... Abstract. The paper presents an original method of optimizing products based on the analysis of optimal values of their characteristics. Optimization method comprises statistical model[r] ...
6
Dental Press J. Orthod. vol.21 número6
... Regression is, thus, an excellent tool for pre- dicting what will happen during the treatment of your next patient or after its ending. A major part of what is named diagnosis and treatment plan in Orthodontics involves ...
2
Estimating Multiple Step Shifts in a Gaussian Process Mean with an Application to Phase I Control Chart Analysis
... TATISTICAL Process Control (SPC) was introduced by Walter A. Shewhart in the 1920s as an attempt to present a powerful collection of statistical and also managerial techniques to monitor product quality and ...
5
Inter-store externalities and the efficient allocation of a commercial center space: the case of Sonae Sierra
... Clearly, our thesis has a number of limitations. The dataset is fairly restrictive, in the sense that it only considers Sonae Sierra shopping centers. Hence, the results can only be generalized using this model as ...
59
Rev. LatinoAm. Enfermagem vol.25
... There was a greater proportion of controls with a higher family income and parent education level, although these differences were not statistically signiicant. There were no signiicant differences either between the two ...
10
S<sup>4</sup>CAST v2.0: sea surface temperature based statistical seasonal forecast model
... forecast model for West African ...original model was restricted to study the predictability of West African rainfall from trop- ical global SSTA using much more limited input parameters that those ...
20
Impacts of AMSU-A, MHS and IASI data assimilation on temperature and humidity forecasts with GSI–WRF over the western United States
... transfer model incorporated into the GSI data assimilation system at the NCEP is the Community Radia- tive Transfer Model ...forward model, tangent-linear, adjoint and K-matrix models were also ...
12
Microbial analysis of bite marks by sequence comparison of streptococcal DNA.
... the model for each locus was used to estimate values for four different parameters: sensitivity, specificity, positive predictive value (PPV) and negative predictive value ...
11
The calculation of specific heats for some important solid components in hydrogen production process based on CuCl cycle
... drogen production in their fluid and solid phase with an aid of statistical thermo- dynamics. For the solid phase, we have developed the mathematical model for the calculation of thermodynamic properties ...
9
Anselmo Ramalho Pitombeira Neto1 , Francisco Moraes de Oliveira Neto2, Carlos Felipe Grangeiro Loureiro3
... the price of greatly increasing the number of parameters to be estimated. This gives rise to the following research question: Is it feasible to jointly estimate route choice probabilities and mean OD lows in real scale ...
13
Clustering of groundwaters by Qmode factor analysis according to their origin: A case study of the Cariri Valley (Northern Brazil) wells
... Multivariate statistical methods of factor analysis are shown to be an important tool for characterising hydrogeochemical proc- esses and clustering groundwaters according to their shared hydrochemical ...
6
Positive Solutions to Find a Job
... the statistical test Factorial Logistic Regression, we have established several models of analysis for the dependent ...the model itself and for each independent ...
36
A statistical subgrid-scale algorithm for precipitation formation in stratiform clouds in the ECHAM5 single column model
... (Fig. 6). The model estimates of IWP do not include snow at the surface. The simula- tions REF and HOM are not able to form ice until 6 October. The first precipitation peak is partly diagnosed as snow in ...
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