This family is stable by marginalization and by conditioning, and it has number of properties which are multivariate versions of familiar properties of univariate reciprocal inverse Gaussian distribution. We als
The uniformly minimum variance unbiased estimator for the reciprocal of the mean of an inverse Gaussian distribution may be negative when the sample size is small and coefficient of variation is large. A class of estimators has been proposed in which the estimators are always positive and have sma...
The number of samples to calculate the Gaussian statistics (mean and covariance) should be greater than the dimension of the last coding layer, here 2048 for the inception pool 3 layer [5]. Otherwise the covariance is not full rank, which will result in complex numbers and nans by ...
The merit of Gaussian-orbital-based GWA calculations is the reduced number of basis functions and hence their greater efficiency and applicability compared to plane-wave calculations, as exemplified by (1) a factor of five speed-up compared to a plane-wave calculation of the Si(001) (2 × 1...
Real- and reciprocal-space attributes of band tail states带尾态的属性.pdf,Real- and reciprocal-space attributes of band tail states John F. Wager Citation: AIP Advances 7, 125321 (2017); doi: 10.1063/1.5008521 View online: /10.1063/1.5008521 View Table o
Reciprocal Inverse Gaussian distributionThis article has no abstract.doi:10.1002/0471667196.ess3372Rajeshwari NatarajanSouthern Methodist University, Dallas, TXJohn Wiley & Sons, Inc.
Poisson distributionreciprocal inverse gaussian distributionEM algorithmcovariates62J1262F1062E1562P05(2017). Properties and applications of the Poisson-reciprocal inverse Gaussian distribution. Journal of Statistical Computation and Simulation. Ahead of Print. doi: 10.1080/00949655.2017.1387917...
(1980), “On the Uniformly Minimum Variance Unbiased Estimators of the Variance and Its Reciprocal of an Inverse Gaussian Distribution,” Journal of the American Statistical Association, 75, 734-735. :Korwar, R. M. (1980). On the uniformly minimum variance unbiased estimators of the variance ...
Kengo KayabaYui HiranoMakoto BabaNobuki MatsuiNaoki UedaSSRN Electronic JournalKayaba, K., Y. Hirano, M. Baba, N. Matsui, and N. Ueda (2017), "Normal reciprocal inverse Gaussian distribution and the stock market returns in Japan," working paper....
The classical Birnbaum-Saunders (BS) distribution has recently been generalized in various ways to introduce flexible parametric models for nonnegative data, focusing on the parametric fitting. In this paper, a new symmetrical-based inverse/reciprocal inverse Gaussian density, through dual transformation,...