...) and population density of 22 demersal species since 1994, using dynamic factor analysis (DFA). Most (but not all) of demersal species have shown a common shift between 2006 and 2009, which is synchronous with that observed in small pelagic species and the environmental conditions in the GOL. It had been...

... decreased home ranges, small coastal sharks are still not comprehensively sampled by a single or few surveys. For example, SEDAR 34 ( 2013 ) used 15 indices of abundance in the base run of the combined region assessment for Atlantic sharpnose shark. Among other methods, dynamic factor analysis (DFA) has...

... are mitigated (e.g. fishing pressure), with measurable benefits to population processes manifested by the high reproductive contributions of repeat spawners, especially in years of low maiden spawner abundance. demographic changes dynamic factor analysis kelts life-history strategies previous spawners 04...

... in recruitment, fishery-independent time-series (1959–2013) of young-of-year (YOY) abundance indices from the Mid-Atlantic to Southern New England (SNE) were analysed using dynamic factor analysis and generalized additive models. Recruitment time-series demonstrated low-frequency variability and the analyses...

..., a period during which many commercial groundfish stocks collapsed due to fishing and subsequently failed to recover. Dynamic factor analysis was used to estimate common trends in biomass densities, to assess synchrony among species, and to investigate the influence of key drivers on those trends...

... and then globalized as a nation. The latter coincide with countries that have a long history as a unified nation. (JEL codes: N70, N71, N73, C32, F15, E32) market integration 19th century dynamic factor analysis wheat prices transport costs trade policy Politicians have long understood the importance of trade...

... analysed using dynamic factor analysis to quantify squid abundance. The optimal model contained one common trend and all three explanatory variables. The Northwest Pacific and Northeast Pacific stocks exhibited opposing trends in abundance, and the results suggest that large-scale environmental factors...

... from contiguous ecosystems and elucidate the relative importance of environmental and fishing factors on each species. Atlantic Multidecadal Oscillation Bay of Fundy coherence dynamic factor analysis Georges Bank Gulf of Maine minimum/maximum autocorrelation analysis Scotian Shelf Synchrony...

... are defined in Table  1 . Abstract Azevedo, M., Duarte, R., Cardador, F., Sousa, P., Fariña, C., Sampedro, P., Landa, J., and Costas, G. 2008. Application of dynamic factor analysis in the assessment of Iberian anglerfish stocks. – ICES Journal of Marine Science, 65: 1362–1369. Dynamic factor analysis...

... for the statistical treatment of the model. The new framework is illustrated for time series of insurance claims, credit card purchases and road safety. It is shown that the general methodology can be effectively used in the assessment of risk. Actuarial and financial risk Dynamic factor analysis Epidemiology...

...Karim Erzini; Cheikh A. O. Inejih; Kim A. Stobberup Abstract Min/max autocorrelation factor analysis (MAFA) and dynamic factor analysis (DFA) are complementary techniques for analysing short (>15–25 y), non-stationary, multivariate data sets. We illustrate the two techniques using catch rate...

... of the common component β(L)f_t requires (p, T) → (∞, ∞). Separate identification of β(L) and f_t is then similar to the static case. Possibly the most popular and widely applicable approach to dynamic factor analysis...

... cross-lagged panel analysis time series analysis dynamic factor analysis “The effect of a concept-driven revolution is to explain old things in new ways. The effect of a tool-driven revolution is to discover new things that have to be explained.” (originally from Sir Frank Dyson...

... logged onto the Internet. The fourth example considers the state space solution to the spline smoothing of motorcycle acceleration data. The fifth example provides a dynamic factor analysis based on the linear Gaussian model for the term structure of interest rates paid on US Treasury securities. Durbin...