Results 221 to 230 of about 50,581 (277)

Bullous pemphigoid associated with vildagliptin in an elderly adult with diabetes mellitus. First case in Peru. [PDF]

Rev Peru Med Exp Salud Publica
Concepción-Zavaleta M, Armas CD, Quiroz-Aldave JE, Ángeles-Zavaleta J, Durand-Vásquez MDC, Paz-Ibarra J, Quispe-Meza JY, Concepción-Urteaga L.   +7 more
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Diversity of Lifeways in Early Antillean Societies: A Multi-Isotope Approach. [PDF]

Am J Biol Anthropol
Chinique de Armas Y, Buhay WM, González Herrera UM, Hernández Godoy ST, Garcell Domínguez JF, Viera Sanfiel LM, Caraballo Yera JA, Roksandic M, Laffoon J.   +8 more
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Neurochemical and Energetic Alterations in Depression: A Narrative Review of Potential PET Biomarkers. [PDF]

Int J Mol Sci
Cornejo Schmiedl SJ, Astudillo Ortega B, Sosa-Moscoso B, González de Armas G, Montenegro Galarza JI, Rodas JA, Leon-Rojas JE.   +6 more
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May Measurement Month 2022: an analysis of blood pressure screening results from Venezuela. [PDF]

Eur Heart J Suppl
Guzmán-Franolic ML, Duin-Balza A, Beaney T, Kerr G, Rawik-Dagher Y, Poulter NR, Armas-Hernandez MJ, Octavio-Seijas JA, Armas-Padilla MC, Silva E, Sosa-Canache B, Morr I, Hernández-Hernandez R.   +12 more
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A NOTE ON ARMA ESTIMATION

Journal of Time Series Analysis, 1983
Abstract. The ranks of certain matrices composed of autocovariances of an ARMA process are considered. These matrices arise in connection with initial estimates of the parameters of such a system. Conditions for such matrices to be of full rank are expressed in terms of conditions on a dual time reversed system.
An, Hong-Zhi, Chen, Zhao-Guo, Hannan, E. J.   +2 more
openaire   +1 more source

The Identification of ARMA Models

Biometrika, 1990
SUMMARY We present a new powerful method for determining the order of ARMA (p, q) models having small sets of observations. The procedure is based on an autoregressive order determination criterion and on linear estimation methods. Simulated data are used to demonstrate the capabilities of the approach. for a survey.
TARMO PUKKILA, SERGIO KOREISHA, ARTO KALLINEN   +2 more
openaire   +1 more source

Multichannel ARMA processes

IEEE Transactions on Signal Processing, 1994
Parametric modeling of multichannel time series is accomplished by using higher (than second) order statistics (HOS) of the observed nonGaussian data. Cumulants of vector processes are defined using a Kronecker product formulation, and consistency of their sample estimators is addressed.
Ananthram Swami, Georgios B. Giannakis, Sanyogita Shamsunder   +2 more
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A NOTE ON ARMA PARAMETERISATION*

Australian Journal of Statistics, 1995
SummaryThis paper considers the relationship between ARMA parameterisations of models fory(t)andAy(t), whereAis invertible andy(t)is a vector time series (t = 0,±1,…). An ARMA model for the transformed seriesAy(t)may have fewer parameters than a model fory(t).This paper shows that such a saving is illusory because the apparently saved parameters are ...
Hannan, E. J., Kavalieris, L.
openaire   +1 more source