Results 71 to 80 of about 2,873,406 (205)

Efficient Prediction Interval in Log-Normal Linear Model [PDF]

open access: yes, 2012
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]

open access: yes
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  

Minimal Model Program for Normal Pairs along log Canonical Locus

open access: yesForum of Mathematics, Sigma
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

Análise de frequência hidrológica dos dados de precipitação pluvial de algumas estações agroclimatológicas da região sul do Rio Grande do Sul Analysis of hidrological frequency of rainfall data of some agroclimatological stations in south region of Rio Grande do Sul state

open access: yesCiência Rural, 1996
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]

open access: yesBioinformatics, 2023
Silva A   +4 more
europepmc   +1 more source

A Robust neural network approach for commodity flow distribution modelling tool [PDF]

open access: yes
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]

open access: yes, 2011
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

open access: yesAnais da Academia Brasileira de Ciências
: 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

Home - About - Disclaimer - Privacy