This is an early version of a set of notes for the course on Time Series Analysis offered at Lund University. Any and all comments and suggestions are most welcome and appreciated. Glossary and Abbreviations 1-D, 2-D, etc. One-dimensional, two-dimensional, etc. ACF Auto-covariance function AR Autoregressive ARIMA Integrated ARMA ARMA Autoregressive moving average ARMAX ARMA with exogenous input...

This work characterized mega plasmid pSY153-MDR, carrying blaIMP-45 and armA, from a multidrug-resistant (MDR) Pseudomonas putida isolate from the urine of a cerebral infarction patient in China. The backbone of pSY153-MDR was closely related to Pseudomonas plasmids p12969-DIM, pOZ176, pBM413, pTTS12, and pRBL16, and could not be assigned to any of the known incompatibility groups. The accessor...

In this work, a powerful parametric spectral estimation technique, 2D-auto regressive moving average modeling (ARMA), has been applied to contrast transfer function (CTF) detection in electron microscopy. Parametric techniques such as auto regressive (AR) and ARMA models allow a more exact determination of the CTF than traditional methods based only on the Fourier transform of the complete imag...

In recent work, ARMARKOV representations have been proposed as an extension of ARMA representations of nite-dimensional linear time-invariant systems. ARMARKOV representations have the same form as ARMA representations, but explicitly involve Markov parameters. This paper generalizes ARMA least-squares time-domain identi cation to ARMARKOV representations. The ARMARKOV/least-squares identi cati...

É sobejamente conhecido que as doenças cardiovasculares (DCV) constituem a principal causa de mortalidade e morbilidade nos países desenvolvidos e em vias de desenvolvimento, com consideráveis custos sociais e económicos associados, sendo por isso consideradas um importante problema de saúde pública a que urge dar resposta1--3. De acordo com um recente relatório da Organização Mundial de Saúde ...

A manterem-se as tendências actuais, a maioria da população activa estará, num futuro breve, envolvida directa ou indirectamente nos processos de desenvolvimento e manutenção de software 1 . Contudo o panorama actual desta área é caracterizado por custos e prazos incorrectamente estimados, má qualidade dos produtos finais e por uma taxa de crescimento global da produtividade que é inferior à da...

Under 5 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 6.5 5 to 9 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 5.8 10 to 14 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 5.7 15 to 19 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 6.0 20 to 24 years . . . . . . . . . . . . . . . . . . . . . . ....

7. Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 8. Supplemental Appendix A . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 8.1. Description of Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 8.2. Assumption V1 for Vector β . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 ...

A new method for the identification of the nonlinear Hammerstein Model consisting a static nonlinearity in cascade with a linear dynamic part, is introduced. The static nonlinearity is modeled by radial basis function neural networks (RBFNN) and the linear part is modeled by an autoregressive moving average (ARMA) model. A recursive algorithm is developed to update the weights of the RBFNN and ...

We consider two relations between Fisher's information matrix of a stationary ARMA (autoregressive moving average) process and Sylvester's resultant matrix. One is based on the Wald test statistic for testing common roots of the AR and MA polynomials of an ARMA process, and the other one is established by using the structure of Fisher's information matrix. It turns out that the latter is also a...