[HTML][HTML] Enhancing property prediction and process optimization in building materials through machine learning: A review

K Stergiou, C Ntakolia, P Varytis, E Koumoulos… - Computational Materials …, 2023 - Elsevier
Abstract Analysis and design, as the most critical components in material science, require a
highly rigorous approach to assure long-term success. Due to a recent increase in the …

Understanding LOVE (left out variables error): A method for estimating the effects of omitted variables.

R Mauro - Psychological Bulletin, 1990 - psycnet.apa.org
Whenever nonexperimental methods are used to test a hypothesis and 1 or more predictor
(independent) variables that may affect the criterion (dependent) variable are omitted from …

[图书][B] Non-linear time series models in empirical finance

PH Franses, D Van Dijk - 2000 - books.google.com
Although many of the models commonly used in empirical finance are linear, the nature of
financial data suggests that non-linear models are more appropriate for forecasting and …

The impact of obesity on wages

J Cawley - Journal of Human resources, 2004 - jhr.uwpress.org
Previous studies of the relationship between body weight and wages have found mixed
results. This paper uses a larger data set and several regression strategies in an attempt to …

The associations between stock prices, inflation rates, interest rates are still persistent: Empirical evidence from stock duration model

T Eldomiaty, Y Saeed, R Hammam… - Journal of Economics …, 2020 - emerald.com
Purpose This paper aims to examine the effect of both inflation rate and interest rate on stock
prices using quarterly data on non-financial firms listed in DJIA30 and NASDAQ100 for the …

How robust standard errors expose methodological problems they do not fix, and what to do about it

G King, ME Roberts - Political Analysis, 2015 - cambridge.org
“Robust standard errors” are used in a vast array of scholarship to correct standard errors for
model misspecification. However, when misspecification is bad enough to make classical …

[图书][B] Misspecification tests in econometrics: the Lagrange multiplier principle and other approaches

LG Godfrey - 1988 - books.google.com
By bringing together results from the growing literature in econometrics on misspecification
testing, this study provides theoretical analyses and convenient methods for the …

Power of the neural network linearity test

T Teräsvirta, CF Lin… - Journal of time series …, 1993 - Wiley Online Library
Recently, a new linearity test for time series was introduced based on concepts from the
theory of neural networks. Lee et al. have already studied the power properties of this test …

Shining a light on the shadows: Identifying robust determinants of the shadow economy

RK Goel, MA Nelson - Economic Modelling, 2016 - Elsevier
Despite the substantial body of research studying the determinants of the shadow economy
in the past few decades, consensus on a set of consistent drivers of the underground sector …

The university: a regional booster? Economic impacts of academic knowledge infrastructure.

RJGM Florax - 1994 - elibrary.ru
Degree: Dr. DegreeYear: 1992 Institute: Universiteit Twente (The Netherlands) Publisher:
Avebury Gower, Gower House, Croft Road, Aldershot Hants Gu11 3hr, England. It has been …