A small group of climate scientists and influencers have vigorously disputed the scientific consensus on change. They contributed to a belief system that has impeded policy actions reduce emissions. accept more CO2 in atmosphere consequences for but strongly deny magnitude effect is significant. Using hourly data from Mauna Loa Observatory Hawaii, this article examines whether temperature at ne...

This paper presents a methodology to create a recursive autoregressive model capable of estimating modal parameters of the recorded crash pulse which can be further used as parameters characterizing a physical model (spring-massdamper model). Such a viscoelastic system with nonlinear parameters estimated by RARMAX model yields results which closely follow the reference vehicle’s kinematics. Thi...

This paper presents a supervisory generalized predictive control (GPC) by combining GPC with statistical process control (SPC) for the control of the thin film deposition process. In the supervised GPC, the deposition process is described as an ARMAX model for each production run and GPC is applied to the in situ thickness-sensing data for thickness control. Supervisory strategies, developed fr...

This study investigates the selection of an appropriate low flow forecast model for the Meuse River based on the comparison of output uncertainties of different models. For this purpose, three data driven models have been developed for the Meuse River: a multivariate ARMAX model, a linear regression model and an Artificial Neural Network (ANN) model. The uncertainty in these three models is ass...

The commonly made assumption of Gaussian noise is an approximation to reality. In this paper, influence function, an analysis tool in robust statistics, is used to formulate a recursive solution for the filtering of the ARMAX process with generalized t-distribution noise. By being a superset encompassing Gaussian, uniform, t, and double exponential distributions, generalized t-distribution has ...

The research presented in the article was aimed at verifying effectiveness of environmental taxes reducing level greenhouse gas emissions. For this purpose, data provided by Eurostat category were used. They treated as explanatory variables. Data entered into ARMAX models built authors. dependent variable emission two gases covered research, namely carbon dioxide and methane. carried out Poland...