Results 41 to 50 of about 5,663 (257)
ON THE AUTOCORRELATION FUNCTION OF A BRP PROCESS
Doboku Gakkai Ronbunshu, 1984 The autocorrelation function of a binary relaxed Poisson process is derived. The process is defined as the following series of transformations of a nonhomogeneous Poisson process: 1) the process of energy bursts (a nonhomogeneous Poisson process), 2) relaxation process of the point process, and 3) its binary transformation.For a stationary BRP process,
Takeharu ETOH, Yasuhiro HAYASHI
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Achieving green transition has become an essential policy priority for which economies need to mobilize green finance, increase green innovation, and promote trade in environmentally sustainable goods and services. However, the effectiveness of policies for enhanced green development depends not only on their design but also on their ...
Sami Ur Rahman +3 more
wiley +1 more source
Additive Nonparametric Regression with Autocorrelated Errors [PDF]
, 1998 A Bayesian approach is presented for estimating nonparametrically an additive regression model with autocorrelated errors. Each of the potentially nonlinear components is modeled as a regression spline using many knots, while the errors are modeled by a ...
Chi-ming Wong +7 more
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Canadian Journal of Statistics, EarlyView.Abstract Annual tree growth is a complex biological process. Modelling radial growth in the trunk by linear‐circular regression with one mode and correlated errors has allowed the definition and assessment of a preferred direction for 1 and 2 years. Here, modified F$$ F $$‐tests are presented for 3 years, 1 mode/year; 1 year, 2 modes for possible main ...
Pierre Dutilleul +2 more
wiley +1 more source
Robust Recursive Estimation for Uncertain Systems With Delayed Measurements and Noises
IEEE Access, 2020 In this article, the problem of robust recursive estimation is studied for a class of uncertain systems with delayed measurements and delayed noises. The system model is subject to stochastic uncertainties which can be described by multiplicative noises.
Jianxin Feng +3 more
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Ecography, EarlyView.Where early successional forests are more flammable than old‐growth forests, forested landscapes are vulnerable to shifting into ‘fire traps' through positive feedbacks, where fire leads to more fire. These feedbacks are amplified by increased flammability driven by climate change, the presence of non‐native flammable plant species, and slowed ...
George L. W. Perry +4 more
wiley +1 more source
Geophysical Monograph Series, Page 153-168., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Yuem Park +3 more
wiley +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
Journal of Forecasting, EarlyView.ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source
Integrating SPC and EPC for Multivariate Autocorrelated Process [PDF]
, 2005 Statistical process control (SPC) is a widely employed quality control method in industry. SPC is mainly designed for monitoring single quality characteristic.
Yang, Chien-Hui +3 more
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IET Signal Processing, 2021 Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state.
Xianqing Li +2 more
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