667 per centimeter : climate science, quantitative biology, statistics, and energy policy
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Category Archives: significance test

Review of “No … increase of Carbon sequestration from the greening Earth”

Posted on 2 September 2019 by ecoquant

(As promised.) Introduction and Abstract This is a review, re-presentation, and report on the August 2019 article, Y. Zhang, C. Song, L. E. Band, G. Sun, (2019), “No proportional increase of terrestrial gross Carbon sequestration from the greening Earth“, Journal … Continue reading →

Posted in adaptation, afforestation, agriculture, agroecology, algal blooms, American Statistical Association, argoecology, being carbon dioxide, biology, Botany, bridge to somewhere, carbon dioxide, carbon dioxide sequestration, chemistry, citizen science, clear air capture of carbon dioxide, climate, climate data, climate disruption, climate economics, climate mitigation, di-nitrogen oxide, ecocapitalism, ecological disruption, Ecological Society of America, ecomodernism, ecopragmatism, environment, evidence, food, forests, fossil fuels, geophysics, Glen Peters, Global Carbon Project, greenhouse gases, James Hansen, John Holdren, p-value, phytoplankton, pollution, population biology, quantitative biology, resource producitivity, scholarship, science education, significance test, statistics, Steven Chu, sustainability, sustainable landscaping, wishful environmentalism | 1 Comment
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  • Goodreads

  • Kalman filtering and smoothing; dynamic linear models



    Also, see datasets and R examples to accompany this excellent text.





    I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

    ``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
    Professor Donald Knuth, 1974
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