Results 31 to 40 of about 4,654,306 (147)
Media Statistika, 2021 The regression model that can be used to model spatial data is Spatial Autoregressive (SAR) model. The level of accuracy of the estimated parameters of the SAR model can be improved, especially to provide better results and can reduce the error rate by ...
Dewi Retno Sari Saputro +2 more
doaj +1 more source
Bayesian Inference for Median of the Lognormal Distribution [PDF]
, 2016 Lognormal distribution has many applications. The past research papers concentrated on the estimation of the mean of this distribution. This paper develops credible interval for the median of the lognormal distribution. The estimated coverage probability
Rao, K. Aruna, D\u27Cunha, Juliet Gratia
core +1 more source
Journal of Telecommunications and Information Technology, 2016 The realistic wireless channels face combined (time shared) Nakagami-lognormal shadowing and unshadowing fading because of time varying nature of radio channel and mobile user.
Rupender Singh, Meenakshi Rawat
doaj +1 more source
Two-Piece Multivariate lognormal distribution [PDF]
, 2014 We have extended the univariate bilognormal distribution to two piece multivariate lognormal distribution. The density function of two piece multivariate lognormal distribution is given and the maximum likelihood estimates of the parameters when the ...
Bhavsar, C. D., shah, Parag B.
core +1 more source
A new subgrid-scale representation of hydrometeor fields using a multivariate PDF [PDF]
Geoscientific Model Development, 2016 The subgrid-scale representation of hydrometeor fields is important for calculating microphysical process rates. In order to represent subgrid-scale variability, the Cloud Layers Unified By Binormals (CLUBB) parameterization uses a multivariate ...
B. M. Griffin, V. E. Larson
doaj +1 more source
Fitting the Modified-Power-Lognormal to the Sum of Independent Lognormals Distribution [PDF]
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009 We propose a new method for calculating a tight approximation to the distribution of the sum of independent lognormal random variables. We make use of a three-parameter modified-power-lognormal distribution function as the approximating distribution.
Sebastian S. Szyszkowicz +1 more
openaire +2 more sources
Quantitative laboratory results: normal or lognormal distribution?
Journal of Laboratory Medicine, 2020 The identification of a suitable distribution model is a prerequisite for the parametric estimation of reference intervals and other statistical laboratory tasks. Classification of normal vs.
Klawonn Frank +2 more
doaj +1 more source
On the Discrimination between the Inverse Gaussian and Lognormal Distributions [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 Both inverse Gaussian and lognormal distributions have been used among many well-known failure time distributions with positively skewed data. The problem of selecting between them is considered. The logarithm of maximum likelihood ratio has been used as
Zakaria Y. AL-Jammal
doaj +1 more source
Weighted Sum of Correlated Lognormals: Convolution Integral Solution [PDF]
, 2011 Probability density function (pdf) for sum of n correlated lognormal variables is deducted as a special convolution integral. Pdf for weighted sums (where weights can be any real numbers) is also presented.
Nagy, Tamás
core +1 more source
, 2006 The transient data of the pinch force produced between the human forefinger and thumb have been shown to fit the functional form of the well-known lognormal density function.
Chappell, P H, Taylor, P N
core +1 more source