Showing 1 - 7 of 7
The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is applied to data of three proteins. The application...
Persistent link: https://www.econbiz.de/10010955404
Two different estimation techniques for the spectrum of a nonstationary time series are compared empirically. Both of them are assuming a time-dependent autoregressive (AR-) model for the data. The first estimation technique used is the Frequency State Dependent Model (FSDM-) technique (Schmitz...
Persistent link: https://www.econbiz.de/10010955415
An overview is given over the S-Plus libraries and modules for statistical analysis of spatial data that are currently available at the Department of Statistics, University of Dortmund. It is believed that this includes all libraries currently available on the internet. Listings of functions...
Persistent link: https://www.econbiz.de/10010955487
Two different estimation techniques for the spectrum of a nonstationary time series are compared empirically. Both of them are assuming a time-dependent autoregressive (AR-) model for the data. The first estimation technique used is the Frequency State Dependent Model (FSDM-) technique (Schmitz...
Persistent link: https://www.econbiz.de/10010316540
The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is applied to data of three proteins. The application...
Persistent link: https://www.econbiz.de/10010316565
The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is applied to data of three proteins. The application...
Persistent link: https://www.econbiz.de/10009776769
Two different estimation techniques for the spectrum of a nonstationary time series are compared empirically. Both of them are assuming a time-dependent autoregressive (AR-) model for the data. The first estimation technique used is the Frequency State Dependent Model (FSDM-) technique (Schmitz...
Persistent link: https://www.econbiz.de/10010467721