Your English writing platform
Free sign upExact(17)
It is shown that the regime-switching approach based on MSAR models significantly outperforms those based on observable regime sequences.
Methanosarcina, Methanobacterium, Methanocorpusculum and Methanosaeta were determined with the respective following probes: msar, mrtA, mcp and msa (Steinberg and Regan 2009).
The results of the successive PCR-determination showed a variation coefficient below 6% for msar amplification and below 15% for msa, mrtA and mcp amplifications.
The number of msar copies in the sample can be explained by the relevant level of acetate, the substrate of this group, and the high biogas production rate recorded from the reactor.
The former approach is based on either self-exciting threshold autoregressive (SETAR) or smooth transition autoregressive (STAR) models, while Markov-switching autoregressive (MSAR) models comprise the kernel of the latter one.
This work is supported in part by the Ministry of Science and Technology of Taiwan under the Grants MOST 104-2112-M-008-014-MY3 and MOST 104-2119-M-008-024, and also by Macau Science and Technology Fund No. 017/2014/A1 of MSAR.
In an empirical study, we investigate the capability of five classes of nonlinear time series models, namely Threshold Autoregressive (TAR), Smooth Transition Autoregressive (STAR), Exponential Autoregressive (EXPAR), Bilinear Model (BL) and Markov Switching Autoregressive (MSAR) to capture the dynamics in the Colorado river discharge time series.
In most research work reported earlier, the response analysis for Mean Square Acceleration Response (MSAR) has been carried out by considering the power spectral density (PSD) of the road excitation as white noise, and the velocity of the vehicle as constant.
The leaf (MSAL) and rhizome (MSAR) libraries in M. sacchariflorus have 8,731 and 8,104 contigs, respectively.
In M. sacchariflorus, 3,939 contigs were expressed in both tissues comprising 45.1% and 48.6% of MSAL (8,732) and MSAR (8,104), respectively.
Lens nuclear opalescence was graded using slit-lamp evaluation in a scale from 1 to 4 by a single examiner (MSAR).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com