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Statistical Models

Statistical Models of Alkaline Batteries Discharge

Statistical Models of Alkaline Batteries Discharge

... This paper is geared to analyzing and improving of the most important empiric relations used for a battery discharge description and constituting a basis of the statistical models. This work is a ...

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Statistical models and the global temperature record

Statistical models and the global temperature record

... two statistical models is the most appropriate for modelling the evolution of global mean surface ...these statistical models has the capability to capture those complexities; both ...

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Conditional Visualisation for Statistical Models

Conditional Visualisation for Statistical Models

... fitted models capture the shape of the data well, and that the models are all quite similar to each other on this ...the models exhibit different extrapolation ...fitted models to parts of the ...

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Statistical Models for Unsupervised Prepositional Phrase Attachment

Statistical Models for Unsupervised Prepositional Phrase Attachment

... Statistical Models for Unsupervised Prepositional Phrase Attachment S t a t i s t i c a l M o d e l s for U n s u p e r v i s e d P r e p o s i t i o n a l P h r a s e A t t a c h m e n t A d w a i t[.] ...

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APPLICATION OF STATISTICAL MODELS TO THE COLLABORATIVE PUBLICATIONS IN BIOINFORMATICS

APPLICATION OF STATISTICAL MODELS TO THE COLLABORATIVE PUBLICATIONS IN BIOINFORMATICS

... appropriate statistical model to the deterioration in the proportion of single-authored publication with during sample ...selected statistical models to the distribution of authorship in publications ...

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Statistical Models for Forecasting Tourists’ Arrival in Kenya

Statistical Models for Forecasting Tourists’ Arrival in Kenya

... using statistical time series modeling techniques—Double Exponential Smoothing and Auto-Regressive Integrated Moving Average ...same models to forecast milk production in ...SARIMA models to forecast ...

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Statistical models for text normalization and machine translation

Statistical models for text normalization and machine translation

... The translation model represents the conditional probability of some source language word correspond- ing to a given target language word. Since the parallel corpora for our two translation problems are relatively small, ...

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Prior knowledge and statistical models of learning

Prior knowledge and statistical models of learning

... The second experiment involved training participants on a particular pattern of responsesin the first phase, and testing whether they could apply that function with different parameter v[r] ...

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Statistical Models of the Troposphere Refractive Index

Statistical Models of the Troposphere Refractive Index

... the models at low levels of probability leads to significant errors in the evaluation of performance characteristics of ...theoretical models for large and small significance levels are ...

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Analysis of different statistical models in probabilistic

Analysis of different statistical models in probabilistic

... logged porosity values (black line). c) Posterior distribution for litho-fluid facies. d) Actual facies 282. profile derived from well log information. e) MAP solution for the facies cl[r] ...

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Statistical Models for Web Pages Usability

Statistical Models for Web Pages Usability

... selected statistical mod- ...Stringent statistical analysis was adopted to extract the required information to form the data acquired, and augmented interpretation of the statistical results was ...

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Statistical models for biological growth curves

Statistical models for biological growth curves

... The method was also applied to a series of models fitted by Causton and Venus to leaf areas of sunflowers (table A5) and leaf weights and areas of wheat (table A6). The alternate day harvest strategies as ...

317

Dirichlet Compound Multinomials Statistical Models

Dirichlet Compound Multinomials Statistical Models

... Topic Models (IFTM) introduced in ...generative models are not able to cap- ture such peculiarity, that instead is very well modelled by the Dirichlet Compund Multinomial model ...

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Forecasting With Statistical Models

Forecasting With Statistical Models

... All measures of forecast accuracy compare the values forecast by the models with those that actually were observed. The difference between the actual and the forecast values is the forecast error. Forecast errors ...

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Statistical models for extreme weather events

Statistical models for extreme weather events

... Standard statistical modelling approaches are often biased when estimating tail behaviour, as central values tend to drive parameter estimates and model ...asymptotic models fitted only to tail data to ...

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II. SPECIFICATION TESTS FOR STATISTICAL MODELS

II. SPECIFICATION TESTS FOR STATISTICAL MODELS

... Model means a set of structural/functional relationships between two or more variables. Generally, these functional relationships can be expressed in terms of mathematical equations. A set of mathematical equations ...

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Statistical models for HMM/ANN hybrids

Statistical models for HMM/ANN hybrids

... We present a theoretical investigation into the use of normalised artificial neural network (ANN) outputs in the context of hidden Markov models (HMMs). The work is motivated by the pursuit of a more theoretically ...

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Statistical Models for Topic Segmentation

Statistical Models for Topic Segmentation

... To reiterate, we used our word frequency model with a total of 3 parameters trained from English newswire text to segment Spanish broadcast news data.. regions of a document unless those[r] ...

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Life Games and Statistical Models

Life Games and Statistical Models

... To construct the equations of motion for the full "life" game, it is best to use the second method used in the last section, i.e., the formulation of the game rules, in terms of [r] ...

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Estimating the evidence for statistical models

Estimating the evidence for statistical models

... Acceptance rates for the jump proposals were around 40%, suggesting that the proposal distributions were a good fit to each posterior model. This is essentially the AutoRJ approach outli[r] ...

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