binary hypothesis testing
Unstructured versus structured GLRT for multi-polarization SAR change detection
... a binary hypothesis testing problem, and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a detector based on the generalized likelihood ratio test (GLRT) ...
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O NU IF O RM L Y MO ST P O WE RF ULD E C E NT RA L IZ E D D E T E CT ION
... composite binary hypothesis testing is mature and well defined in centralized detection where all observations are directly accessible at one central ...a binary relay tree achieves a Type II ...
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Hypothesis Testing over Cascade Channels
... Abstract—Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final ...the binary ...
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Hypothesis testing via a comparator
... the binary hypothesis testing (in the case of simple hypotheses) admits an optimal solution based on thresholding the relative density of P with respect to Q (a Radon-Nikodym ...
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Hypothesis testing.
... alternative distribution falls within cut-off points (i.e., p>.05), then null hypothesis would be retained... Behavioural Science II 19[r] ...
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Asymmetric quantum hypothesis testing with Gaussian states
... In particular, we have applied the theory of asymmetric testing to multimode Gaussian states, providing a general recipe for the computation of the QHB in the Gaussian setting. Using this recipe, we have found ...
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Crimonometric Analysis: Testing the Deterrence Hypothesis in Sabah
... This paper empirically estimates disaggregated crime categories for Sabah from 1968 to 2006. The criminometric analysis incorporated in a within sample analysis of cointegration and error correction framework and the ...
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Testing of Hypothesis by using Generalized Inverse of Matrix
... by using Generalized Inverse of Matrix . In the recent paper (1), On the generalized inverse of a matrix, the generalized inverse matrix wasapplied to solution of systems of equations that are linearly dependent and ...
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Supporting shared hypothesis testing in the biomedical domain
... causality hypothesis as a normalized weighted path computation in the hypothesis ...causality hypothesis by mea- suring it proportionally to the amount of available knowl- edge and collected ...
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Hypothesis testing in Bayesian network meta-analysis
... There are some limitations of our simulation study. Of course, there are by far more data situations as those considered. However, we covered a range of common situ- ations in medical research. There is also a lot of ...
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Hypothesis Testing for Functional and Repeated Measurements Data.
... for testing using standard methods, such as Laplace approximation (Raudenbush et ...for testing variance components, ultimately recommending likelihood ratio tests (LRTs) for their ease of ...for ...
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On the Distribution of Type II Errors in Hypothesis Testing
... In this section we review Type II errors briefly. A de- tailed discussion of Type II errors (and hypothesis testing in general) can be found in any mathematical statistics text, for example, [2]. We assume ...
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Testing the Equality Hypothesis on a Cross Covariance Matrix
... Journal testing for a cross-covariance matrix being equal to a specified one becomes an important ...when testing for time-reversibility (see Section 3 for more details), we can transform the problem into ...
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Testing the Ricardian Equivalence Hypothesis in Zimbabwe: An ARDL Bound Testing Approach
... The REH have invited some fierce theoretical criticisms suggesting Ricardian Non Equivalence. Firstly, according to the Diamond Overlapping Generations Model, the REH do not factor in population dynamics and assumes ...
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Testing the altruism hypothesis with italian cohort data
... The age consumption profiles by head of households are reported in Figures 1 and 2. In order to construct Figure 1, I computed the weighted averages of annual consumption by age-cohort for each time period in the sample. ...
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Testing a Hypothesis about Two Independent Means
... a hypothesis test, we’ve always been careful to say that you either rejected the null hypothesis or did not reject ...null hypothesis” has never been ...
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Nonparametric hypothesis testing for equality of means on the simplex
... The sample sizes were set equal for both samples and equal to 15, 30, 50 and 100. When the sample sizes were equal to 15 the true Type I error was not achieved by any procedure. Bootstrap calibration however corrected ...
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Testing Trade led Growth Hypothesis for Romania
... This paper tests the relationship between trade and economic growth for the case of Romania, during 1998-2004. We employed cointegration and Granger-causality tests on stochastic systems composed of exports, imports and ...
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Two sample hypothesis testing for functional data
... finite dimensional testing problem. The methodology is illustrated using the two-sample Anderson-Darling statistic (Pettitt, 1976); however, any other two- sample tests can also be used. Our simulation results ...
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Stepwise Hypothesis Testing with Applications in Pharmaceutical Responses
... Hence, the resulting rectangular set will contain only points in which the null hypothesis was rejected. Points outside the rectangular set are excluded from the rectangular set because they may not be added while ...
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