Results 71 to 80 of about 2,873,406 (205)
Efficient Prediction Interval in Log-Normal Linear Model [PDF]
Log-normal linear models are widely applied, and in many situations one is interested in predicting the response variable at the original scale for given covariate values. The back-transform (BT) prediction interval is universally used in practice.
Chen, Li-Ching; Chen, Li-Hsueh; Ting, Chuan-Wei +1 more
core
State Normal bulletin. <1905-1906->. Catalogue edition <1905-1906-> [PDF]
Began in 1895?Volumes for issued by the school under its variant name: Oregon State Normal School.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program.
core
Difficulties in summing log-normal distributions for abundance and potential solutions. [PDF]
Talis EJ, Che-Castaldo C, Lynch HJ.
europepmc +1 more source
Simultaneous estimation of log-normal coefficients of variation: Shrinkage and pretest strategies. [PDF]
Aldeni M +3 more
europepmc +1 more source
Minimal Model Program for Normal Pairs along log Canonical Locus
Let $(X,\Delta )$ be a normal pair with a projective morphism $X \to Z$ and let A be a relatively ample $\mathbb {R}$ -divisor on X. We prove the termination of some minimal model program on $(X,\Delta +A)/Z$ and the abundance ...
Kenta Hashizume
doaj +1 more source
A análise de frequência hidrológica, possibilita conhecer a magnitude de um evento para uma dada frequência de ocorrência, identificando se os dados observados ajustam-se a alguma distribuição de probabilidade.
Rita de Cássia Fraga Damé +3 more
doaj +1 more source
Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data. [PDF]
Silva A +4 more
europepmc +1 more source
A Robust neural network approach for commodity flow distribution modelling tool [PDF]
The Neural Network (NN) approach performance as a fully constraint spatial movement modelling tool is dependent upon its multi properties, like the training algorithm (TA).
Yue, Wen Long +2 more
core
A discrete log-normal process to generate a sequential multifractal time series, [PDF]
International audienceWe propose a discrete log-normal process to generate an intermittent time series and show that it possesses multifractal properties. With such a process, it is possible for the first time to sequentially generate a multifractal time
Schmitt, François G, Perpete, N.
core +1 more source
The Log-Odd Normal Generalized Family of Distributions with Application
: The normal distribution has a central place in distribution theory and statistics. We propose the log-odd normal generalized (LONG) family of distributions based on log-odds and obtain some of its mathematical properties including a useful linear ...
MUHAMMAD ZUBAIR +3 more
doaj +1 more source

