D nT Data – (240 test sample): σ and p-values for Linear (All) floor tests
Tests for normality in linear panel data models
... Keywords: st0001, xtsktest, skewness, kurtosis, normality, panel data 1 Introduction The need to check for non-normal errors in regression models obeys to both methodological and conceptual reasons. From a ...
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More powerful tests from confidence interval P values
... based p value for two reasons. The first is computational. In both p Z and p C , the function to be maximized is the ...the data, we should be able to estimate p and should not need to ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... the P-value as an item of evidence in the full text of the first principle, and in the sixth ...principle:“1. P-values can indicate how incompatible the data are with a specified statistical ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... For the last 15 years in periodic literature there has appeared a series of scientific publications that has laid the foundation of a new scientific direction on creation of piecewise-linear economic-mathematical ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... of data analysis, the relationship which exists or lies between a hierarchical kernel and the sub-kernels at the time of build a hierarchical classification, not to mention influence have these at the time of the ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... The results of the six tables represent the means we will depend on in determining the best analysis, which represent a phenomenon studied through of the value R square is represent ability of independent variables in ...
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Sample quantiles corresponding to mid p-values for zero–modification tests
... These data were analysed by Ridout and Dem´ etrio (1992) and Ridout et al. (1998). If the model of the null hypothesis is a negative binomial (type–II) model, where both the mean and the size parameter are ...
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The most efficient linear combination of the Sign and the Maesono tests for p-normal distributions
... 4 tests, instead of the Student’s t, the maximum absolute loss of efficiency is about 3,1% when p=1,96 corresponding to a p-normal density with kurtosis index ...For values of p between ...
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Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
... of linear time complex- ity and show higher power ...existing linear statis- tics for high-dimensional ...proposed linear statistic, finite set Stein discrepancy ...
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Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes
... MDR has several advantages over more traditional statistical approaches such as logistic regression modeling: 1) MDR is a non-parametric approach with no requirement to the dis- tribution of data. 2) MDR can ...
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Comparing Predictive Values of Two diagnostic tests
... whole data, but we use the data which has been dichotomized the risk factors as 1 or 0 in [17]; 1 with patients who are recorded with more than two risk factors, and 0 with patients who are recorded with ...
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Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data
... We show that UK outperforms GBLUP in the presence of dominance and epistatic effects. In a limiting case, it is shown that the genomic covariance structure proposed by VanRaden (2008) can be considered as a covariance ...
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3 D Modelling of the Confederation Bridge Using Data of Full Scale Tests
... 4.5.1. Comparison of Tilts Results for the tilts of selected iterations of the calibra- tion process are given in Table 1. The table shows the rotational stiffness used in the iterations and the corre- sponding tilts at ...
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Tests for High Dimensional Generalized Linear Models
... generalized linear mod- ...the tests are evaluated under the setting of the local and fixed ...proposed tests can provide p-values for testing significance of multiple gene-sets, whose ...
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Tests for High Dimensional Generalized Linear Models
... generalized linear mod- ...the tests are evaluated under the setting of the local and fixed ...proposed tests can provide p-values for testing significance of multiple gene-sets, whose ...
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Copositivity tests based on the linear complementarity problem
... a data driven way and con- sists in a partitioning of the standard simplex in ...and D¨ ur is thereby based on the evaluation of a set of inequalities on each subsimplex, while the second one by Bomze and ...
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Linear Approximations and Tests of Conditional Pricing Models
... There are nine portfolios where the estimated alpha seems large, relative to the simple OLS standard errors (i.e., the t-statistic exceeds two). In the following sections, when we examine the impact of misspecification ...
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Bootstrap Tests of Nonnested Linear Regression Models
... Larger values of B will make the test results less dependent on the realizations of the bootstrap samples and will increase test power somewhat; see Davidson and MacKinnon ...smaller values of B work ...
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Bootstrap p-values for tests of nonparametric hypotheses
... for the bootstrap procedures is given as well as Monte Carlo results for evidence of small.. sample properties.[r] ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... To the present time, there exists almost no literature on oscillation results for vector fractional ordinary differential equations and vector fractional partial di[r] ...
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