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281.
This paper finds a general form of the correlation matrix that may be used to provide unbiased F tests in a.k-way factorial experiment. 相似文献
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283.
Nader Ebrahimi 《统计学通讯:理论与方法》2013,42(5):651-659
Let x be a random variable having the normal distribution with mean μ and variance c2μ2, where c is a known constant. The maximum likelihood estimation of μ when the lowest r1 and the highest r2 sample values censored have been given the asymptotic variance of the maximum likelihood estimator is obtained. 相似文献
284.
A study is made of Neyman's C(a) test for testing independence in nonnormal situations. It is shown that it performs very well both in terms of the level of significance and the powereven for smallvalues of the samplesize. Also, in the case of the bivariate Polsson distribution, itis shown that Fisher's z and Student's t transforms of the sample correlation coefficient are good competitors for Neyman's procedure. 相似文献
285.
Rober Haining 《统计学通讯:理论与方法》2013,42(2):573-597
The paper examines alternative estimators for the mean of a spatial process where observations are not independent. Properties of the sample mean and its standard error are contrasted with those of maximum likelihood estimators derived for three spatial models. The information loss caused by spatial dependency in the data is examined. The distribution theory for the estimators is reviewed and the paper concludes with an empirical example illustrating the properties of the estimators and the practical benefits of the maximum likelihood procedure. 相似文献
286.
A measure of multivariate correlation between two sets of vectors is considered when the underlying joint distribution is a member of the class of elliptical distributions. Its asymptotic distribution is derived under different situations and these results are used to test hypotheses on vector correlation when the underlying joint distribution is non-normal. 相似文献
287.
Asatoshi Maeshiro 《统计学通讯:理论与方法》2013,42(4):1185-1204
This study reveals that contrary to the conventional wisdom among econometricians, the bias of the OLS estimator can be quite small when the estimator is applied to a geometrically distributed lag model, yt<ce:glyph name="dbnd6"/> α + βx t+ λy t-1. + ut, with autocorrelated disturbances, be they AR(1), MA(1), MA(2), AR(2), and ARMA(1,1). This happens when λ is large and xtis smoothly trended (e.g., a real GNP series). In fact, the bias of the OLS estimator becomes zero at one parameter combination, and the OLS estimator performs well over a wide range around this parameter combination. By decomposing the disturbance term into two parts, the paper also explains why OLS shows such an unexpected property. These findings have both pedagogical and practical significance. 相似文献
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Jayaram Sethuraman 《统计学通讯:理论与方法》2013,42(11):4291-4298
290.
From the literature three types of predictors for factor scores are available. These are characterized by the constraints: linear, linear conditionally unbiased, and linear correlation preserving. Each of these constraints generates a class of predictors. Best predictors are defined in terms of Lowner's partial matrix order applied to matrices of mean square error of prediction. It is shown that within the first two classes a best predictor exists and that it does not exist in the third. 相似文献