Cross-correlation bias in lag analysis of aquatic time series

Marine Biology

Volumn 138, Issue 5, 2001, Pages 1063-1070

  Olden, J D ^a   Neff, B D ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034985991     PISSN: 00253162     EISSN: None     Source Type: Journal    
DOI: 10.1007/s002270000517     Document Type: Article

References (44)

1. The "effective" number of independent observations in an autocorrelated time series
2. Analysis of short time series: Correcting for autocorrelation
3. Patterns of abundance for Calanus and smaller copepods in the North Sea - Time-series decomposition of 2 CPR data sets
4. Use of statistical methods in the search for teleconnections: Past, present, and future
5. Application of least squares regression to relationships containing autocorrelated error terms
6. Relationships between Alaskan salmon catch and North Pacific climate on interannual and interdecadal time scales
7. Time lags in algal growth: Generality, causes and consequences
8. Climate change and salmon production in the Northeast Pacific Ocean
9. Checking the independence of two covariate-stationary time series: A univariate residual cross-correlation approach
10. Identification of dynamic regression (distributed lag) models connecting two time series
11. Long-term changes in a brackish lagoon, Lady's Island Lake, south-east Ireland
12. Pseudoreplication and the design of ecological field experiments
13. Use of cross-correlations in the search for teleconnections
14. The problem of multiplicity in research on teleconnections
15. The macroecology of population dynamics: Taxonomic and biogeographic patterns in population cycles
16. Why do populations cycle? A synthesis of statistical and mechanistic modeling approaches
17. The effect of seasonal anomalies of seawater temperature and salinity on the fluctuation in yields of small yellow croaker, Pseudosciaena polyactis, in the Yellow Sea
18. Recruitment to northwest Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) stocks: Influence of stock size and environment
19. The dynamics and relative strength of bottom-up vs. top-down impacts in a community of subtropical lake plankton
20. Synchrony of recruitment across the North Atlantic: An update
21. An artificial neural network approach to studying phytoplankton succession
22. Torturing data for the sake of generality: How valid are our regression models?
23. From the cell cycle to population cycles in phytoplankton-nutrient interactions
24. How many statistical tests are too many? The problem of conducting multiple ecological inferences revisited
25. Large-scale climatic fluctuation and population dynamics of moose and white-tailed deer
26. Physical and biological scales of variability in lakes, estuaries, and the coastal ocean
27. Comparison of methods to account for autocorrelation in correlation analyses of fish data
28. Managing Alaska's salmon fisheries for a prosperous future
29. Abundance of post-larval Callinectes sapidus, Penaeus spp., Uca spp., and Libinia spp. collected at an outer coastal site and their cross-shelf transport
30. Trends in wild adult steelhead (Oncorhynchus mykiss) abundance in British Columbia as indexed by angler success
31. Predicting the spring algal biomass in Lough Neagh using time series analysis
32. Larval supply of shorefishes to nursery habitats around Lee-stocking Island, Bahamas 2. Lunar and oceanographic influences
33. Some thoughts on clinical trials, especially problems of multiplicity
34. Dynamics of ciliate abundance, biomass and community composition in an oligotrophic coastal environment (NW Mediterranean)
35. Bias in the estimation of functional relationships from time series data
36. A partial bias correction factor for stock-recruitment parameter-estimations in the presence of auto-correlated environmental-effects
37. Is research on environmental factors useful to fisheries management?