Results 41 to 50 of about 4,998 (266)
Detergent Virus Inactivation in Chromatography Systems
Biotechnology and Bioengineering, EarlyView.ABSTRACT Detergent treatment is a widely utilized virus‐inactivation step in therapeutic protein manufacturing to safeguard products. Traditionally, this operation is performed in an incubation vessel in batch mode. In this investigation, a methodology was developed to enable virus inactivation via a post‐load, detergent‐containing wash within a bind ...
Kang Cai +6 more
wiley +1 more source
A Generic Approach to Covariance Function Estimation Using ARMA-Models
Mathematics, 2020 Covariance function modeling is an essential part of stochastic methodology. Many processes in geodetic applications have rather complex, often oscillating covariance functions, where it is difficult to find corresponding analytical functions for ...
Till Schubert +3 more
doaj +1 more source
Canadian Journal of Statistics, EarlyView.Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source
Fully Bayesian Analysis of Bivariate Arma Models [PDF]
The Egyptian Statistical Journal, 1991 This paper proposes a convenient way to do a complete Bayesian analysis of bivariate time series generated by auto-regressive moving average models. The identification, estimation, diagnostic checking, and forecasting phases of time series analysis is ...
Samir Shaarawy
doaj +1 more source
Carbon mineralization in mafic formations: fracture topology and hydro-chemo-mechanical coupling [PDF]
Versión aceptada de: https://doi.org/10.56952/ARMA-2024-1107This paper was prepared for presentation at the 58th US Rock Mechanics/Geomechanics Symposium held in Golden, Colorado, USA, 23-26 June 2024.
Santamarina, J. Carlos +3 more
core +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
Journal of Forecasting, EarlyView.ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
CONTROL CHARTS FOR STATIONARY VECTOR ARMA PROCESSES
South African Journal of Industrial Engineering, 2012 <P>ENGLISH ABSTRACT: In practice, there are many quality control situations where a product under consideration may have two or more interrelated quality characteristics and observations of each characteristic are serially correlated.
J. Yadavalli, S.J. Claasen, N. Singh
doaj
Marginally specific alternatives to normal ARMA processes [PDF]
Proceedings of the 19th conference on Winter simulation - WSC '87, 1987 In many practical cases in time series analysis, marginal distributions in stationary situations are not Gaussian. It is therefore necessary to be able to generate and analyze non-Gaussian time series. Several non-Gaussian time series models are discussed in this paper.
Lewis, Peter A.W. +2 more
openaire +2 more sources