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排序方式: 共有522条查询结果,搜索用时 15 毫秒
1.
Testing symmetry under a skew Laplace model 总被引:3,自引:0,他引:3
Tomasz J. Kozubowski Anna K. Panorska 《Journal of statistical planning and inference》2004,120(1-2):41-63
We develop tests of hypothesis about symmetry based on samples from possibly asymmetric Laplace distributions and present exact and limiting distribution of the test statistics. We postulate that the test statistic derived under the Laplace model is a rational choice as a measure of skewness and can be used in testing symmetry for other, quite general classes of skew distributions. Our results are applied to foreign exchange rates for 15 currencies. 相似文献
2.
研究了以扩充Jacobi多项式(1+x)Vn(x)的零点为基点的Lagrange插值多项式Ln(f,x)逼近/k)的一些问题. 相似文献
3.
Gianfranco Lovison 《Statistical Papers》2005,46(4):555-574
The identity of the Rao score and PearsonX
2 statistics is well known in the areas where the latter was first introduced: goodness-of-fit in contingency tables and binary
responses. We show in this paper that the same identity holds when the two statistics are used for testing goodness-of-fit
of Generalized Linear Models. We also highlight the connections that exist between the two statistics when they are used for
the comparison of nested models. Finally, we discuss some merits of these unifying results.
Work financially supported by cofin. MIUR grants 2000 and 2002. 相似文献
4.
范定洪 《重庆大学学报(社会科学版)》2002,8(6):169-171
深入分析历年硕士研究生入学英语考试英译汉试题的特点,总结四方面特点,提出具有针对性的翻译方法和技巧作为对策:(1)试题中的词汇难以见词明义,需根据上下文选择确定词义或对词义进行引申;(2)句子的理解与翻译对上下文的依赖性很强,需使用还原法对原文中的替代、省略、变换等表达进行还原翻译;(3)句子较长,结构复杂,需采用分译法;(4)很多句子的表意方式和语序体现出英美人的思维习惯和特点,需作语序调整。 相似文献
5.
Detecting parameter shift in garch models 总被引:1,自引:0,他引:1
Chia-Shang James Chu 《Econometric Reviews》1995,14(2):241-266
This paper applies recent theories of testing for parameter constancy to the conditional variance in a GARCH model. The supremum Lagrange multiplier test for conditional Gaussian GARCH models and its robustified variants are discussed. The asymptotic null distribution of the test statistics are derived from the weak convergence of the scores, and the critical values from the hitting probability of squared Bessel process.
Monte Carlo studies on the finite sample size and power performance of the supremum LM tests are conducted. Applications of these tests to S&P 500 indicate that the hypothesis of stable conditional variance parameters can be rejected. 相似文献
Monte Carlo studies on the finite sample size and power performance of the supremum LM tests are conducted. Applications of these tests to S&P 500 indicate that the hypothesis of stable conditional variance parameters can be rejected. 相似文献
6.
Nilgun Ozgul 《统计学通讯:理论与方法》2019,48(6):1481-1492
In recent years, calibration estimation has become an important field of research in survey sampling. This paper proposes a new calibration estimator for the population mean in the presence of two auxiliary variables in stratified sampling. The theory of new calibration estimator is given and optimum calibration weights are derived. A simulation study is carried out to performance of the proposed calibration estimator over other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than other existing calibration estimators in stratified sampling. 相似文献
7.
This paper proposes an overlapping-based test statistic for testing the equality of two exponential distributions with different scale and location parameters. The test statistic is defined as the maximum likelihood estimate of the Weitzman's overlapping coefficient, which estimates the agreement of two densities. The proposed test statistic is derived in closed form. Simulated critical points are generated for the proposed test statistic for various sample sizes and significance levels via Monte Carlo Simulations. Statistical powers of the proposed test are computed via simulation studies and compared to those of the existing Log likelihood ratio test. 相似文献
8.
Richard G. Spencer Benjamin D. Cortese Vanessa A. Lukas Nancy Pleshko 《The American statistician》2017,71(1):81-87
In a wide variety of biomedical and clinical research studies, sample statistics from diagnostic marker measurements are presented as a means of distinguishing between two populations, such as with and without disease. Intuitively, a larger difference between the mean values of a marker for the two populations, and a smaller spread of values within each population, should lead to more reliable classification rules based on this marker. We formalize this intuitive notion by deriving practical, new, closed-form expressions for the sensitivity and specificity of three different discriminant tests defined in terms of the sample means and standard deviations of diagnostic marker measurements. The three discriminant tests evaluated are based, respectively, on the Euclidean distance and the Mahalanobis distance between means, and a likelihood ratio analysis. Expressions for the effects of measurement error are also presented. Our final expressions assume that the diagnostic markers follow independent normal distributions for the two populations, although it will be clear that other known distributions may be similarly analyzed. We then discuss applications drawn from the medical literature, although the formalism is clearly not restricted to that application. 相似文献
9.
《Journal of Statistical Computation and Simulation》2012,82(3):187-203
When analyzing categorical data using loglinear models in sparse contingency tables, asymptotic results may fail. In this paper the empirical properties of three commonly used asymptotic tests of independence, based on the uniform association model for ordinal data, are investigated by means of Monte Carlo simulation. Five different bootstrapped tests of independence are presented and compared to the asymptotic tests. The comparisons are made with respect to both size and power properties of the tests. Results indicate that the asymptotic tests have poor size control. The test based on the estimated association parameter is severely conservative and the two chi-squared tests (Pearson, likelihood-ratio) are both liberal. The bootstrap tests that either use a parametric assumption or are based on non-pivotal test statistics do not perform better than the asymptotic tests in all situations. The bootstrap tests that are based on approximately pivotal statistics provide both adjustment of size and enhancement of power. These tests are therefore recommended for use in situations similar to those included in the simulation study. 相似文献
10.
Amit Sen 《统计学通讯:理论与方法》2018,47(7):1580-1596
We show that the Lagrange multiplier (LM) unit root test exhibits size distortions when a break in the innovation variance exists but is ignored. We develop a modified LM unit root test that is based on a generalized least-squares transformation of the original series. The asymptotic null distribution of the new modified LM unit root test is derived. Finite-sample simulation evidence shows that the modified LM unit root test maintains its size and has reasonable power against the trend stationary alternative. 相似文献