ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Economy
Research
Technology
Biology
Agronomy and forestry
Pure sciences
Environment
Geography
Architecture and Urbanism
Public health
all records (72)

Languages
English
German
Spanish
Portuguese
French

Countries
Indonesia
USA
Ukraine
Switzerland
Brazil
India
Italy
Pakistan
Romania
South Africa
all records (76)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
9.186  Articles
1 of 920 pages  |  10  records  |  more records»
A review of some Bayesian data analysis models is proposed, namely the models with one and several parameters. A methodology is developed for probabilistic models construction in the form of Bayesian networks using statistical data and expert estimates. T... see more

In the present paper the Bi-variate Ordinary Least Square (OLS) and Generalized autoregressive conditional heteroskedasicity (GARCH 1, 1) model are applied to gather the fitted Net –Profit series of Two nationalized banks viz, State Bank of India SBI (bei... see more

Radar rainfall forecasting is of major importance to predict flows in the sewer system to enhance early flood warning systems in urban areas. In this context, reducing radar rainfall estimation uncertainties can improve rainfall forecasts. This study util... see more

High quality on-line flow forecasts are useful for real-time operation of urban drainage systems and wastewater treatment plants. This requires computationally efficient models, which are continuously updated with observed data to provide good initial con... see more

The forecasting using the multi-layered neural network model is one of the methods used recently in forecasting, especially in climate forecasts for certain regions, because of its accuracy in forecasting, which sometimes reaches levels close to the real ... see more

Trends and forecasts of the main atmospheric pollutants (O3, SO2, NO2, CO, PM10, PM2.5, NO and NOx) are estimated by regions in the Mexico City Metropolitan Area (MCMA) with maximum daily data from 2008 to 2018. A non-parametric statistical smoothing cont... see more

This research tries to assess the dependents and Long Term Care costs for nextyears in Spain. To do this, it has been taken account data from the Survey onDisabilities, Impairments and Health Status and population forecasts estimatedby INE, the legal rule... see more

AbstractThis study investigates whether the estimation of the systematic risk component or the beta of shares on the Johannesburg Stock Exchange (JSE) can be improved using transfer function or MARIMA modeling. Two propositions are tested. Transfer functi... see more

Implicit inflation or break-even inflation rate (BEIR) is the difference between nominal and real interest rates. In the Brazilian market, we can obtain it from indexed government bonds. However, when dealing with short-term BEIR, this task presents two d... see more

1 of 920 pages  |  10  records  |  more records»