The mean errors of the characteristics in logarithmic-normal distributions

Abstract

In his paper ?On the genetic theory of frequency? (Arkiv för Matematik, Astronomi och Fysik, Bd 12, N:o 20, and Meddelande frän Lunds Astronomiska Observatorium N:o 83, 1917), Dr. WIOKSELL has determined the mean of tbe logarithm, l _o and the dispersion, σ_l, assuming tbc logaritbm normally distributed.     

Ammonia vessel integrity program: A modern approach

The probability of fracture of an ammonia storage vessel due to stress cracking can be calculated based on the vessel's likelihood of failure.     

REDD+ as Result‐based Aid: General Lessons and Bilateral Agreements of Norway

The initiative known as Reducing Emissions from Deforestation and Forest Degradation (REDD+) officially became part of the international climate agenda in 2007. At that time, REDD+ was an idea regarding payment to countries (and possibly also projects) for reducing emission from forests, with funding primarily from carbon markets. The initiative has since become multi‐objective in nature; the policy focus has changed from a payments for environmental services (PES) approach to broader policies, and international funding primarily originates from development aid budgets. This “aidification” of REDD+ has made the program similar to previous efforts using conditional or results‐based aid (RBA). However, the experience of RBA in other sectors has scarcely been addressed in the REDD+ debate. The alleged advantages of RBA are poorly backed by empirical research. This paper reviews the primary challenges in designing and implementing a system of RBA, namely, donor spending pressure, performance criteria, reference levels, risk sharing, and funding credibility. It then reviews the four partially performance‐based, bilateral REDD+ agreements that Norway has entered with Tanzania, Brazil, Guyana, and Indonesia. These agreements and the aid experience provide valuable lessons for the design and implementation of future REDD+ mechanisms.     

Rethinking the causes of deforestation: lessons from economic models.

Concern is rising over the deleterious effects of tropical deforestation. For example, the loss of forest cover influences the climate and reduces biodiversity, while reduced timber supplies, siltation, flooding, and soil degradation affect economic activity and threaten the livelihoods and cultural integrity of forest-dependent people. Such concerns have led economists to expand their efforts to model why, where, and to what extent forests are being converted to other land uses. This synthesis of the results of more than 140 economic models analyzing the causes of tropical deforestation brings into question many conventional hypotheses upon deforestation. More roads, higher agricultural prices, lower wages, and a shortage of off-farm employment generally lead to more deforestation. However, it is not known how technical change, agricultural input prices, household income levels, and tenure security affect deforestation. The role of macroeconomic factors such as population growth, poverty reduction, national income, economic growth, and foreign debt is also unclear. The authors nonetheless determine through their review that policy reforms included in current economic liberalization and adjustment efforts may increase pressure upon forests.