نتایج جستجو برای: arma custos

تعداد نتایج: 4574  

2005
Elena Goldman Jun Wang

Using the multiple threshold autoregressive and moving average (TARMA) model we analyze the nonlinearities in the dynamics of realized volatilities of daily stock returns of 30 companies in the Dow Jones index. We find that the realized volatility processes can be characterized by the high, moderate, and low regimes and that the persistence, variance and ARMA error term change with each regime....

Journal: :Kybernetika 1988
Ales Linka

Let Xt be an /-dimensional ARMA (p, q) process. Let g: U l -> W be a measurable function. Define a process Zt by Zt = g(Xt). Generally, Z.is not an ARMA process. However, we are interested in such functions g, for which Zt is also an AR process. It is important to know the orders of the process Zt. In the most cases we find only some bounds for them. From the practical point of view, our consid...

2016
Andréa Cristina Rosa Mendes Cristiana Maria Toscano Rosilene Marques de Souza Barcellos Alvaro Luis Pereira Ribeiro Jonas Bohn Ritzel Valéria de Souza Cunha Bruce Bartholow Duncan

OBJECTIVE To assess the costs of the Smoking Cessation Program in the Brazilian Unified Health System and estimate the cost of its full implementation in a Brazilian municipality. METHODS The intensive behavioral therapy and treatment for smoking cessation includes consultations, cognitive-behavioral group therapy sessions, and use of medicines. The costs of care and management of the program...

1995
Filippo De Mari

The space of rational matrices with xed size and degree is shown to have a manifold structure with bers over a Grassmannian. The bers are homeomorphic to a suitable space of strictly proper rational matrices. This structure is compatible with Willems' partition of external variables into inputs and outputs.

Journal: :Antimicrobial agents and chemotherapy 2009
Qiong Wu Yibo Zhang Lizhong Han Jingyong Sun Yuxing Ni

High-level resistance to aminoglycosides produced by 16S rRNA methylases in Enterobacteriaceae isolates was investigated. The prevalences of armA in Escherichia coli, Klebsiella pneumoniae, and Enterobacter cloacae were 0.6%, 3.0%, and 10%, respectively. rmtB was more prevalent than armA. Pulsed-field gel electrophoresis patterns indicated that armA and rmtB have spread horizontally and clonally.

Journal: :Communications in Statistics - Simulation and Computation 2008
Abdelhakim Aknouche Hacène Belbachir Fayçal Hamdi

An analytically simple and tractable formula for the start-up autocovariances of periodic ARMA (P ARMA) models is provided.

Journal: :The Journal of antimicrobial chemotherapy 2010
Xiang-Dang Du He-Bing Liu Cong-Ming Wu Xin-Sheng Li Xing-Yuan Cao Bao-An Cui Su-Mei Zhang Gong-Zheng Hu Jian-Zhong Shen

Sir, Methylation of 16S ribosomal RNA (rRNA) mediated by 16S rRNA methylase, which confers high-level aminoglycoside resistance (MICs .1024 mg/L) in Enterobacteriaceae, has recently emerged as a major medical problem worldwide. Until now, seven plasmid-encoded 16S rRNA methylases, ArmA, RmtA, RmtB, RmtC, RmtD, RmtE and NpmA, have been reported in various clinical Gram-negative isolates in multi...

Journal: :Kybernetika 1996
Jitka Zichová

The purpose of this paper is to introduce a method of estimating parameters in nonnegative ARMA processes. The method is a generalization of the procedures which were derived for autoregressive and moving-average processes. The estimates are constructed in the form of minima of certain fractions or some functions of these minima. A theorem concerning the strong consistence of these estimates is...

2015
Lei Huang

To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying estimators of observation noise are used to achieve the estimated mean and variance of the observatio...

Journal: :IEEE Trans. Signal Processing 1994
Klaus Bolding Rasmussen

The well-known prediction-error-based maximum likelihood (PEML) method can only handle minimum phase ARMA models. This likelihood (BFML) method, which can handle nonminimum phase and noncausal ARMA models. The BFML method is identical to the PEML method in the case of a minimum phase ARMA model, and it turns out that the BFML method incorporates a noncausal ARMA filter with poles outside the un...

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