Critics on the Exogenous and the Mixed Exogenous–Endogenous Variable Price Estimation Model : A Proposal for the RS Price Estimation Model

2017 ◽  
Vol 35 (2) ◽  
pp. 25-52
Author(s):  
HaeMyoung Ji
Keyword(s):  
Endogenous Variable ◽  
Estimation Model ◽  
Price Estimation

scholarly journals Price Estimation Model of Jade Bracelet Based on RBF Neural Network

2018 ◽  
Vol 381 ◽  
pp. 012100
Author(s):  
Kun Deng ◽  
Pei He ◽  
Xiaxia Zhou ◽  
Wuyi Zhang
Keyword(s):  
Neural Network ◽  
Rbf Neural Network ◽  
Estimation Model ◽  
Price Estimation

On the Design and Development of a Novel Real-Time Transaction Price Estimation System

2011 ◽  
Vol 393-395 ◽  
pp. 213-216 ◽  
Author(s):  
Chi Hua Chen ◽  
Szu Yin Lin ◽  
Hsu Chia Chang ◽  
Chi Chun Lo
Keyword(s):  
Real Time ◽  
Open Economy ◽  
Stock Price ◽  
Investment Decision ◽  
Efficient Market Hypothesis ◽  
Estimation Model ◽  
Investment Decision Making ◽  
Price Estimation ◽  
Estimation System ◽  
Transaction Price

In global open economy, transaction price estimation is an important issue in finance under stock price fluctuation. However, the transaction price is depend on the investors’ expect price which is difficult to be captured in used and implemented models for transaction price estimation. Therefore, this paper proposes the Transaction Price Estimation Model (TPEM) and designs a novel Real-time Transaction Price Estimation System (RTPES) which adopts the TPEM based on the efficient market hypothesis to estimate the investors’ expect price. In experiments, the simulation results show that the average accuracy of TPEM is 99.37%. This approach is feasible for stock investment decision-making.

Face-aware Saliency Estimation Model for 360° Images

2019 ◽  
Author(s):  
Pramit Mazumdar ◽  
Giuliano Arru ◽  
Marco Carli ◽  
Federica Battisti
Keyword(s):  
Estimation Model

FAKTOR FAKTOR YANG MEMPENGARUHI PRODUK DOMESTIK BRUTO NEGARA-NEGARA ASEAN PERIODE 2005-2014

2017 ◽  
Vol 22 (1) ◽  
pp. 23-29
Author(s):  
Leorista Milliardo
Keyword(s):  
Economic Growth ◽  
Analytical Tool ◽  
Panel Regression ◽  
Estimation Model ◽  
Process Data ◽  
Factors Affecting ◽  
Goods And Services ◽  
Asean Member ◽  
Tourism Sector ◽  
Asean Countries

This study was conducted with the aim of identifying the factors affecting economic growth in ASEAN member countries during the period of 2005 - 2014, with the countries sampled in this study were six countries namely Indonesia, Singapore, Malaysia, Thailand, Philippines, Vietnam, Cambodia and Laos. The method of analysis used is the method of Data Panel Regression and Fixed Efect estimation model by using analytical tool to help process data is Eviews 7 program. While data used is panel data from eight ASEAN countries covering 10 year periods. The result of analysis shows that the acceptance of International Tourism Sector and Foreign Direct Investment has positive and significantinfluenceto the economic growth in eight ASEAN countries while the Labor Force is inconclusive. The study also found that Export of Goods and Services had a negative and significanteffect on economic growth.

Estimating nitrogen contents of apple leaves based on hyperspectral parameter models at different phenophases

2016 ◽  
Vol 6 (2) ◽  
pp. 942-952
Author(s):  
Xicun ZHU ◽  
Zhuoyuan WANG ◽  
Lulu GAO ◽  
Gengxing ZHAO ◽  
Ling WANG
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Shoot Growth ◽  
Hyperspectral Data ◽  
Estimation Model ◽  
Apple Leaves ◽  
Bp Neural Network Model ◽  
Nitrogen Contents

The objective of the paper is to explore the best phenophase for estimating the nitrogen contents of apple leaves, to establish the best estimation model of the hyperspectral data at different phenophases. It is to improve the apple trees precise fertilization and production management. The experiments were done in 20 orchards in the field, measured hyperspectral data and nitrogen contents of apple leaves at three phenophases in two years, which were shoot growth phenophase, spring shoots pause growth phenophase, autumn shoots pause growth phenophase. The study analyzed the nitrogen contents of apple leaves with its original spectral and first derivative, screened sensitive wavelengths of each phenophase. The hyperspectral parameters were built with the sensitive wavelengths. Multiple stepwise regressions, partial least squares and BP neural network model were adopted in the study. The results showed that 551 nm, 716 nm, 530 nm, 703 nm; 543 nm, 705 nm, 699 nm, 756 nm and 545 nm, 702 nm, 695 nm, 746 nm were sensitive wavelengths of three phenophases. R551+R716, R551*R716, FDR530+FDR703, FDR530*FDR703; R543+R705, R543*R705, FDR699+FDR756, FDR699*FDR756and R545+R702, R545*R702, FDR695+FDR746, FDR695*FDR746 were the best hyperspectral parameters of each phenophase. Of all the estimation models, the estimated effect of shoot growth phenophase was better than other two phenophases, so shoot growth phenophase was the best phenophase to estimate the nitrogen contents of apple leaves based on hyperspectral models. In the three models, the 4-3-1 BP neural network model of shoot growth phenophase was the best estimation model. The R2 of estimated value and measured value was 0.6307, RE% was 23.37, RMSE was 0.6274.

Evaluation of Distribution Network Customer Outage Costs

2009 ◽  
Vol 25 (25) ◽  
pp. 7-12 ◽  
Author(s):  
Laila Zemīte ◽  
Jānis Gerhards
Keyword(s):  
Distribution Network ◽  
Mean Value ◽  
Estimation Model ◽  
Energy Assessment ◽  
Calculation Results ◽  
Rate Calculation

Evaluation of Distribution Network Customer Outage CostsCustomer outage cost criteria are considered, collected and analyzed outage costs in Latvia distribution network, as well as distribution network outage elimination structure, the most common outage causes, are proposed outage costs estimation model. Finally the discussion of results of expected customer outage costs and interrupted energy assessment rate calculation results in Latvia distribution network in 2007 are presented, based on customers' mean value of incomes, outcomes and profitability.

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