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Non-extensive Entropy Econometrics for Low Frequency Series provides a new and robust power-law-based, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems. Particular attention is paid to national account-based general equilibrium models known for their relative complexity.In theoretical terms, the approach generalizes Gibbs-Shannon-Golan entropy models, which are useful for describing ergodic phenomena. In essence, this entropy econometrics approach constitutes a junction of two distinct concepts: Jayne's maximum entropy principle and the Bayesian generalized method of moments. Rival econometric techniques are not conceptually adapted to solving complex inverse problems or are seriously limited when it comes to practical implementation. Recent literature showed that amplitude and frequency of macroeconomic fluctuations do not substantially diverge from many other extreme events, natural or human-related, once they are explained in the same time (or space) scale. Non-extensive entropy is a precious device for econometric modelling even in the case of low frequency series, since outputs evolving within the Gaussian attractor correspond to the Tsallis entropy limiting case of Tsallis q-parameter around unity. This book introduces a sub-discipline called Non-extensive Entropy Econometrics or, using a recent expression, Superstar Generalised Econometrics. It demonstrates, using national accounts-based models, that this approach facilitates solving nonlinear, complex inverse problems, previously considered intractable, such as the constant elasticity of substitution class of functions. This new proposed approach could extend the frontier of theoretical and applied econometrics.

Business cycles. --- Econometrics. --- Maximum entropy method. --- generalized cross-entropy, general equilibrium macro-economic model, econometrics. --- BUSINESS & ECONOMICS / Econometrics. --- Entropy maximization --- Entropy maximum principle --- Maximization, Entropy --- Entropy (Information theory) --- Maximum principles (Mathematics) --- Economics, Mathematical --- Statistics --- Economic cycles --- Economic fluctuations --- Cycles

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Spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks are a dominant natural disturbance in the forests of Canada and northeastern USA. Widespread, severe defoliation by this native insect results in large-scale mortality and growth reductions of spruce (Picea sp.) and balsam fir (Abies balsamea (L.) Mill.) forests, and largely determines future age–class structure and productivity. The last major spruce budworm outbreak defoliated over 58 million hectares in the 1970s–1980s, and caused 32–43 million m3/year of timber volume losses from 1978 to 1987, in Canada. Management to deal with spruce budworm outbreaks has emphasized forest protection, spraying registered insecticides to prevent defoliation and keep trees alive. Other tactics can include salvage harvesting, altering harvest schedules to remove the most susceptible stands, or reducing future susceptibility by planting or thinning. Chemical insecticides are no longer used, and protection strategies use biological insecticides Bacillus thuringiensis (B.t.) or tebufenozide, a specific insect growth regulator. Over the last five years, a $30 million research project has tested another possible management tactic, termed an ‘early intervention strategy’, aimed at area-wide management of spruce budworm populations. This includes intensive monitoring to detect ‘hot spots’ of rising budworm populations before defoliation occurs, targeted insecticide treatment to prevent spread, and detailed research into target and non-target insect effects. The objective of this Special Issue is to compile the most recent research on protection strategies against spruce budworm. A series of papers will describe results and prospects for the use of an early intervention strategy in spruce budworm and other insect management.

pheromone mating disruption --- spruce budworm --- insecticide application --- multi-spectral remote sensing --- simulation --- apparent fecundity --- Choristoneura fumiferana (Clemens) --- Pinaceae --- Choristoneura fumiferana --- circadian rhythm --- forest protection --- early intervention strategy --- insect population management --- moth --- survival --- Phialocephala scopiformis --- moths --- optimized treatment design --- spatial-temporal patterns --- monitoring --- modelling --- science communication --- decision support system --- population control --- area-wide management --- tortricidae --- insect susceptibility --- egg recruitment --- annual defoliation --- treatment threshold --- Maine --- dispersal --- growth rate --- forest pests --- Choristoneura fumiferana (Clem.) --- mixed effect models --- intertree variance --- endophytic fungi --- Acadian region --- insecticides --- defoliation --- Abies balsamea --- Picea glauca --- immigration --- defoliation prediction --- early intervention --- Quebec --- phenology --- aerobiology --- economic losses --- spatial autocorrelation --- foliage protection --- computable general equilibrium model --- economic and ecological cost: benefit analyses --- hardwood content --- plant tolerance --- Lepidoptera --- migration