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Testing Statistical Models with NCEP Data

Testing Policy Theory with Statistical Models of Networks

Testing Policy Theory with Statistical Models of Networks

... containing data indicating the adoption or not of common ...the statistical models of networks that are discussed and used throughout this issue is substantive and that their answer would surely ...

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Statistical models for rank data

Statistical models for rank data

... the data is independently and identically ...complete data covariance ...missing data and add it to the complete data variance-covariance ...rank data would broaden the range of cases ...

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Statistical Models for Data Analysis

Statistical Models for Data Analysis

... Abstract A multivariate hidden Markov model is proposed for clustering mixed linear and circular time-series data with missing values. The model integrates von Mises and normal densities[r] ...

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Statistical Diagnostics of Models for Count Data

Statistical Diagnostics of Models for Count Data

... of data Poisson distribution or some modification should be the first choice ...Poisson models—though widely used to handle count data—may not be well suited to handle some types of count ...Poisson ...

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A Cross-Validation of Statistical Models for Zoned-Based Prediction in Cultivar Testing

A Cross-Validation of Statistical Models for Zoned-Based Prediction in Cultivar Testing

... robust statistical procedure is needed to provide reliable information on the tested ...the statistical procedure follows the tradition of modeling cultivar effects as ...the statistical method could ...

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Testing Statistical Hypotheses for Latent Variable Models and Some Computational Issues

Testing Statistical Hypotheses for Latent Variable Models and Some Computational Issues

... unorthodox statistical problems concerning goodness-of-fit tests in the latent variable context and efficient statistical ...a statistical test for testing equality of two distributions when ...

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STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA

STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA

... Our analysis has explored the use of alternative approaches to representing and reasoning with relational autocorrelation dependencies. The experiments have demon- strated a unique property of relational ...

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Algebraic and Combinatorial Properties of Statistical Models for Ranked Data.

Algebraic and Combinatorial Properties of Statistical Models for Ranked Data.

... ranked data for which uses paired comparisons to assign a probability to every possible ...observed data points in this model are rankings on n items, it is natural to think of these observations as ...

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A physical analysis of polarimetric SAR data statistical models

A physical analysis of polarimetric SAR data statistical models

... SAR Data Statistical Models Xinping Deng, Carlos López-Martínez, Senior Member, IEEE, and Eduardo Makhoul Varona, Member, IEEE Abstract—The random walk model is studied with the objective to obtain a ...

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Statistical Models for Querying and Managing Time-Series Data

Statistical Models for Querying and Managing Time-Series Data

... different models for approximating various segments of the stream regardless of the error ...the data stream, namely rate, burstiness, data range, ...some data sources ...the data ...

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Statistical Models and Analysis of Univariate and Multivariate Degradation Data

Statistical Models and Analysis of Univariate and Multivariate Degradation Data

... degradation data, as it would be extremely expensive to obtain lifetime data for a long period of ...and data-driven approaches such as particle filtering have ...

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Spam Filtering Using Statistical Data Compression Models

Spam Filtering Using Statistical Data Compression Models

... adaptive data compression models for spam ...compression models from the training corpus, one from examples of spam and one from legitimate ...two models on the target mes- sage determines the ...

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Sentiment classification using statistical data compression models

Sentiment classification using statistical data compression models

... employ statistical data compression as a non-standard method to sentiment polarity ...ferent data sets show that compression based methods are efficient, easy to apply and can compete with the ...

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Statistical Hypothesis Testing Through Trapezoidal Fuzzy Interval Data

Statistical Hypothesis Testing Through Trapezoidal Fuzzy Interval Data

... Moreover, two numerical examples are demonstrated and in example-2 we have used the testing procedure through trapezoidal interval data which are already analysed by Wu [21], Chachi et al. [9] through ...

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Statistical methods for estimation, testing, and clustering with gene expression data

Statistical methods for estimation, testing, and clustering with gene expression data

... the data into two sets, but here the sets are composed of completely observed and partially observed features, instead of ...augmented data using k-means and then updating the imputed values through the ...

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Testing the statistical isotropy of the universe using radio survey data

Testing the statistical isotropy of the universe using radio survey data

... in the form of a temperature dipole were depicted at ∼ 3 mK. The dipole is inter- preted with respect to the Cosmic Microwave Background (CMB) rest frame. This includes the motion of our solar system and even the motion ...

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Guidelines for Statistical Testing

Guidelines for Statistical Testing

... standard statistical tests 17 that can be used for this purpose, by examining the goodness-of-fit between observed data and the distribution from which the data have supposedly been ...our ...

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Automatic test-data generation for testing simulink models

Automatic test-data generation for testing simulink models

... structural-based testing, we wish to guide the search towards test-data that causes identified ‘Switch’ block branches to be ...current data is from satisfying the ...

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Automatic test-data generation for testing simulink models

Automatic test-data generation for testing simulink models

... code-level testing, can be adapted for Matlab/Simulink models and applied to generate test sequences that satisfy identified testing ...architectural models of ...level models to a ...

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Model fitting for alternative statistical models for binary survey data

Model fitting for alternative statistical models for binary survey data

... 13 3. Randomized Response Models 3.1 Warner Aiming to protect the privacy of the respondents and by that, increasing the response accuracy on sensitive questions, in 1965 Warner proposes the historically first ...

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