Results 251 to 260 of about 2,870,637 (304)

Clinical Data Analysis Identifies Prognostic Long Non-coding RNA Signatures in Lung Adenocarcinoma. [PDF]

Cancer Genomics Proteomics
Sharma M, Chourasia N, Priyanka P, Garg M, Nayak S, Shah SS, Dhar PK, Sarkar DP, Nag A, Saxena S.   +9 more
europepmc   +1 more source

Shared Frailty Survival Analysis of Neonatal Hypothermia and Its Predictors Among Neonates Admitted to the Neonatal Intensive Care Unit at Pawe General Hospital. [PDF]

Health Sci Rep
Denta AT, Kitawa YS, Woldemedihn GM, Marine BT.   +3 more
europepmc   +1 more source

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On the capacity of log-normal fading channels

IEEE Transactions on Communications, 2009
In this letter we provide an analytical expression for the moments of the capacity for the log-normal fading channel. Since the developed expression involves infinite series, we show that the error that results from the truncation of these series is insignificant.
Amine Laourine, Sofiène Affes, Alex Stephenne   +2 more
exaly   +2 more sources

The beta log-normal distribution

Journal of Statistical Computation and Simulation, 2013
For the first time, we introduce the beta log-normal (LN) distribution for which the LN distribution is a special case. Various properties of the new distribution are discussed. Expansions for the cumulative distribution and density functions that do not involve complicated functions are derived.
Gauss M Cordeiro
exaly   +2 more sources

CONFIDENCE INTERVALS FOR THE LOG-NORMAL MEAN

Statistics in Medicine, 1997
In this paper we conduct a stimulation study to evaluate coverage error, interval width and relative bias of four main methods for the construction of confidence intervals of log-normal means: the naive method; Cox's method; a conservative method; and a parametric bootstrap method. The simulation study finds that the naive method is inappropriate, that
X H, Zhou, S, Gao
openaire   +2 more sources

Modeling the diversity and log-normality of data [PDF]

Intelligent Data Analysis, 2014
We investigate two important properties of real data: diversity and log-normality. Log-normality accounts for the fact that data follow the lognormal distribution, whereas diversity measures variations of the attributes in the data. To our knowledge, these two inherent properties have not been paid much attention from the machine learning community ...
Khoat Than, Tu Bao Ho
openaire   +1 more source

Estimation of the log-normal mean

Statistics in Medicine, 1998
The most commonly used estimator for a log-normal mean is the sample mean. In this paper, we show that this estimator can have a large mean square error, even for large samples. Then, we study three main alternative estimators: (i) a uniformly minimum variance unbiased (UMVU) estimator; (ii) a maximum likelihood (ML) estimator; (iii) a conditionally ...
openaire   +2 more sources