Results 191 to 200 of about 30,999 (254)

Toward a Semi-Supervised Learning Approach to Phylogenetic Estimation. [PDF]

Syst Biol
Silvestro D, Latrille T, Salamin N.
europepmc   +1 more source

Grey Wolf optimization enhanced adaptive decomposition for trend periodic analysis of nonstationary and nonlinear hyrologic series. [PDF]

Sci Rep
Li J, Ding W, Wang H.
europepmc   +1 more source

Shelter Distribution and Type Affect Space Use of a Desert Reptile. [PDF]

Ecol Evol
Averill-Murray RC, Riedle JD.
europepmc   +1 more source

Strong link between Earth's oxygen level and geomagnetic dipole revealed since the last 540 million years. [PDF]

Sci Adv
Kuang W, Kopparapu R, Krissansen-Totton J, Mills BJW.   +3 more
europepmc   +1 more source

Learning in the Credit Card Market [PDF]

David Laibson, John C Driscoll, Sumit Agarwal, Xavier Gabaix   +3 more
core  

Coral records exaggerate past decadal tropical climate variability

Dolman A, McPartland M, Felis T, Laepple T.   +3 more
europepmc   +1 more source

Testing for nonlinear cointegration between stock prices and dividends [PDF]

Andy Snell, George Kapetanios, Yongcheol Shin   +2 more
core  

Foraging as an ethological framework for neuroscience.

Trends Neurosci
Grima LL, Haberkern H, Mohanta R, Morimoto MM, Rajagopalan AE, Scholey EV.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

SPC Procedures for Monitoring Autocorrelated Processes

Quality Technology & Quantitative Management, 2007
AbstractThe inference about the statistical properties of quality control methodologies is based on the assumptions of normality and independence. In real industrial environments though process data is often correlated or exhibits some serial dependence affecting the efficiency of Statistical Process Control (SPC) methodologies.
S. Psarakis, G. E. A. Papaleonida
openaire   +3 more sources

Max-Chart for Autocorrelated Processes

Economic Quality Control, 2007
Summary: Statistical process control procedures are usually implemented under the assumption that the observations from a process are independent over time. However, this assumption is often violated. Therefore, we propose a single Shewhart-type control chart for autocorrelated processes by fitting a time series model into the process and monitoring ...
Thaga, K., Kgosi, P. M., Gabaitiri, L.
openaire   +2 more sources