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Structural model evaluation and tests of hypotheses

Data driven smooth tests for composite hypotheses

Data driven smooth tests for composite hypotheses

... classical tests will be more appealing than for the case of testing the sim- ple ...specialized tests like Gini’s test for exponentiality or Shapiro-Wilk’s test for normality in most situations dominate ...

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Permutation – based statistical tests for multiple hypotheses

Permutation – based statistical tests for multiple hypotheses

... validation tests based on multiple testing corrections and re-sam- pling techniques ...statistical tests to correct for the occurrence of false positives ...permutation tests do not use individual ...

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Subsampling tests of parameter hypotheses and overidentifying restrictions with possible failure of identification

Subsampling tests of parameter hypotheses and overidentifying restrictions with possible failure of identification

... resulting tests are consistent against fixed alternatives and have exact asymptotic rejection probabilities under the null hypothesis independent of identification ...variables model as an illustrative ...

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Size and Power of Tests of Hypotheses on Survival Parameters from the Lindley Distribution with Covariates

Size and Power of Tests of Hypotheses on Survival Parameters from the Lindley Distribution with Covariates

... Lindley model as an alternative model facilitating the analyses of time-to-event data with ...comparing tests of hypotheses on time-to-event parameters from Cox’s Model and method of ...

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Bootstrapping Hypotheses Tests

Bootstrapping Hypotheses Tests

... p model from all subsets variable ...bootstrap tests for multiple linear regression and for the all subsets variable selection model that minimizes C p ...

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Tests of Hypotheses Using Statistics

Tests of Hypotheses Using Statistics

... or ”tails” with a coin). In this instance we look for the number of successes (often called x) in n trials (leaving n − x failures) and look at either the number of successes or look at x/n, the proportion of trials that ...

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Bootstrap p-values for tests of nonparametric hypotheses

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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On the Power of Invariant Tests for Hypotheses on a Covariance Matrix

On the Power of Invariant Tests for Hypotheses on a Covariance Matrix

... 2. T B (e) < and e = 2 span(X ) (i.e., e = 2 cl ( B; )) implies lim !a P ; ; ( B; ) = 0 for every 2 R k and 0 < < 1. It is worth pointing out here that the second case, i.e., the zero-power trap, can occur even for ...

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Ambient Temperature and Violent Crime: Tests of the Linear and Curvilinear Hypotheses

Ambient Temperature and Violent Crime: Tests of the Linear and Curvilinear Hypotheses

... Both alternatives predict a linear relationship between temperature and aggression in real-world settings, whereas the negative affect curvilinear model predicts a specific curvilinear e[r] ...

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The Mechanism of Tongue Projection in Chameleons: I  Electromyographic Tests of Functional Hypotheses

The Mechanism of Tongue Projection in Chameleons: I Electromyographic Tests of Functional Hypotheses

... The posterior region, which forms a complete ring around the entoglossal process, exhibits a biphasic pattern, while the anterior region, which occurs as an anterior projection of the mu[r] ...

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Color Image Retrieval Based on Non-parametric Statistical Tests of Hypotheses

Color Image Retrieval Based on Non-parametric Statistical Tests of Hypotheses

... non-parametric tests such as two-sample Wald Test for equality of variance and Man-Whitney U test is proposed in this ...method tests the deviation, ...the tests then it is inferred that the two ...

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The NCAA Basketball Betting Market: Tests of the Balanced Book and Levitt Hypotheses

The NCAA Basketball Betting Market: Tests of the Balanced Book and Levitt Hypotheses

... these tests were compared to previous results found on betting percentages in the NFL (Paul and Weinbach, 2007) and the NBA (Paul and Weinbach, ...hybrid model where sportsbooks price as a forecast, ...

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Tests of Adaptive Coloration Hypotheses for Madtom (Notorus) Catfishes (Siluriformes: Ictaluridae)

Tests of Adaptive Coloration Hypotheses for Madtom (Notorus) Catfishes (Siluriformes: Ictaluridae)

... Because the three species of madtoms used in this research are stream species, lack of flow could have affected substrate choice in the pools. Therefore, a rectangular plexi-glass artificial stream (.325 m X 1.92 m) was ...

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A method for testing results of infectivity tests with plant viruses for compatibility with hypotheses

A method for testing results of infectivity tests with plant viruses for compatibility with hypotheses

... If each X is a mean of n values of x, nX(Zi-Z,)2/?F' (where W is the number of degrees of freedom equal to the number of inocula minus the number of adjustable const[r] ...

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New Methods using Levene Type Tests for Hypotheses about Dispersion Differences

New Methods using Levene Type Tests for Hypotheses about Dispersion Differences

... a number of bioequivalence studies. We use part of the data set GN24 to illustrate the seven tests compared by simulation in earlier sections. The GN24 study com- pared anticonvulsant drugs on 24 subjects, ...

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Uniformly more powerful tests for hypotheses concerning linear inequalities and normal means

Uniformly more powerful tests for hypotheses concerning linear inequalities and normal means

... Under certain conditions, the following test will be shown to be a size-ex test that is uniformly more powerful than the LRT for the testing problem described in (1.1).. DEFINITION 3.1= [r] ...

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Bootstrap Tests Based on Goodness of Fit Measures for Nonnested Hypotheses in Regression Models

Bootstrap Tests Based on Goodness of Fit Measures for Nonnested Hypotheses in Regression Models

... best model among nonnested regression models. The bootstrap tests that this paper proposes have an obvious strength over the existing ones: they never show inconsistent test ...bootstrap tests only ...

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Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models

Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models

... construct tests using the measures for goodness-of-fit for nonnested regression ...bootstrap tests that this paper proposes are expected to show better finite sample properties since they do not have ...

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Parametric and semiparametric hypotheses in the linear model

Parametric and semiparametric hypotheses in the linear model

... these tests and posterior ...MDP model was fit with the MCMC methods developed in Bush and MacEachern (1996), and its log-marginal likelihood was estimated with the methods of Basu and Chib ...parametric ...

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Ensemble evaluation of hydrological model hypotheses

Ensemble evaluation of hydrological model hypotheses

... of model development, it was expected that model error would be greater than measure- ment error and model simulations would not fall into the observational error bounds at all time ...overall ...

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